diff --git "a/DPO_Zephyr_Unsloth_Example.ipynb" "b/DPO_Zephyr_Unsloth_Example.ipynb" --- "a/DPO_Zephyr_Unsloth_Example.ipynb" +++ "b/DPO_Zephyr_Unsloth_Example.ipynb" @@ -8,9 +8,9 @@ "source": [ "To run this, press \"Runtime\" and press \"Run all\" on a **free** Tesla T4 Google Colab instance!\n", "
\n", - " \n", - " \n", - " Join our Discord if you need help!\n", + " \n", + " \n", + " Join our Discord if you need help!\n", "
\n", "\n", "To install Unsloth on your own computer, follow the installation instructions on our Github page [here](https://github.com/unslothai/unsloth#installation-instructions---conda).\n", @@ -36,9 +36,7 @@ "else:\n", " # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n", " !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n", - "pass\n", - "\n", - "!pip install \"git+https://github.com/huggingface/transformers.git\" # Native 4bit loading works!" + "pass" ] }, { @@ -63,12 +61,12 @@ "base_uri": "https://localhost:8080/" }, "id": "E8-BWi7MzkRz", - "outputId": "62b1cc0c-a494-4816-aff8-d2cf340a7691" + "outputId": "0626186f-6e70-47b7-db59-b8e7591d0de4" }, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/unsloth/__init__.py:67: UserWarning: CUDA is not linked properly.\n", "We shall run `ldconfig /usr/lib64-nvidia` to try to fix it.\n", @@ -86,110 +84,122 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "QmUBVEnvCDJv", "colab": { "base_uri": "https://localhost:8080/", - "height": 385, + "height": 491, "referenced_widgets": [ - "e874eb7fb86d43a5b77a5dfacfa9d8a0", - "da4e510666be477c841212f5017b47e0", - "25a23224fd504c48bc4a20c6b47acb10", - "8cf44fb3cbb745bea86d61189c5665a0", - "08eeb449819d47409de21b90da03c70d", - "6283d5ae17b544e8b49de72af49c171f", - "78c999dc45a44436975ae35a6ba602fc", - "c41bb81611974c11aa5bc31d6e649c65", - "e2c7f0b1f20b4bda8269dcd30edcf4ac", - "768a9a1adf9843c8afadc861016e9dd7", - "9dfc6867aba4448fa534b8f74d2da3a1", - "9e6b808ad9d243c69b099fffef673dec", - "5e26903f37f44ccea54b031989bdee07", - "78c354a390c54b0a990f052db95a70e3", - "38e738f0e66c46aba21dba8f7eeed727", - "ac130598ebcc4ae2a426b62a011775e8", - "6b4d1d950cb14c1484ebede77c610e75", - "b29322681da7490291118b138ebf28ba", - "5dcc7b2a47e6495297d36855724940ed", - "2c8c2043ab4c48e997c498fcb3169676", - "158c8e46a9b34a7a89154ef484187eb2", - "5aba62774bae4e15821623ac71700b70", - "5ca45f817d784a8aa6c89969136ee53d", - "f3b6a130e10e416ea8b95b80c264028d", - "00273f529fc4482b83d90892421b2f38", - "23888a5e3a9441f09f6e96943587c92f", - "9176ce2d816c4faeb792aa2e95d149ff", - "0b48053354ed49788897a6fff135cef6", - "ebb8f01d7e834380ada8008f296207c3", - "95abfe070a1042ceb459ddd9a719b4ed", - "41a7293a45174bf69178d0e88aeb9f89", - "42628252c650442d9824b684d8fac22f", - "17ef306e2a27469da9086652b3acea14", - "ecec31f77eab469aa61ead705557cdcb", - "ee4c1dcd246c4818bf60bc6164bfaf3f", - "db41489806bc426aa2259070d036e87f", - "abf877d764b148d1a539be05a5ffa61a", - "79fbf74966144b89b58c53329cf9bc55", - "a2f1f703a0994bbe949948de631e8f9e", - "aebf71c536714962827e11f17c6a6e16", - "bda940f600d34640bb781db24841f944", - "4a5a796382234e00a701ac3dcb5009ef", - "e6cd6cca3a3e4378b8c28cb2c201ce65", - "058a920f8b23400896363b9f799e5428", - "abf769643beb4576be0ec06b40c3a39c", - "d49c4bbd79764be6a367a529430bb21c", - "66fda39ee94640f9bfbf95b277029f5f", - "a91b988eba704f3d83b2427008360214", - "c6984f94ef2946f8bf97184bb3f6569c", - "e8402dfc1a8b41429e8015d0569fd3d2", - "3d6b10bc206a4735b36e64d25ef8045e", - "33585dca549944f3bae76a720aa2d0e2", - "749f2a828c024012bc404f62b3110317", - "2a5c7b2997744dafad3cfdd16fe931cf", - "938ae07a3b014287a6b0f9d903c61b6b", - "e29361925b634f968acb57d488fc849d", - "86b2a0cba0f1497897d0cc8a4279cbfb", - "cac455d66c424233bfcd8aef411d1180", - "fb6a3fcef0e84843bc33bc9b929afbf1", - "66859785d81d455e91032048226a01d4", - "6e99c507e18d4d23adca6e9a23cf0004", - "cdf03b41c0f94373a99fe372a5f13dc3", - "eb797a1a19db4e898634d18f19b2056d", - "fab1a0ae36644433b756857d36dd52f2", - "928e0ff3f174436b817262603cc78b77", - "7234655b163a4c3c80c28388a1f072fa", - "788d1b6eb4904b94bcfd9e0929720d1f", - "5b8655d89c63464c968da114b0077829", - "7595ab61957945e192a988916b0fcec9", - "5ad12f2b58204d3f8f77d12a4a2c04ec", - "ed1bcf79e7f84a499f41b36cbe4f3a69", - "319a5cd1e1f144c7b090eb78bc72a969", - "71a02ae95f6745bcb68e25291a59cb4d", - "9f25fb5cf7de47de8b6dd8c9213ec9e3", - "ec2ab7b05c014f3bac6b15c12bde34d8", - "ba337b31b13347b9be6e1a43fd0cd8aa", - "2995caed8cd7422b9c3fbeacd11839d8" + "4c7a9e6327fc4b839f1e2eee705e1574", + "904fef1ac7404cc8a33e65ffe8938c8b", + "f7562580501845e9a67ab9a8b4a96ba0", + "96f9847627504ae7abe7461e4c0b3cff", + "5165aa69bef148af9717d90cc5a870b1", + "e6dfcf0456824556ad09fe7945674a14", + "80568bca0c604eaaab2933fc76da2bf0", + "079284acd5c6454eb03d8876a62e6f12", + "1d917d774780421fbdca680009a706ac", + "342cf2a9d6674b4d94fdbaf3b63b9b79", + "16ace0251b954bc08a33eaf3b2a47216", + "2cb8afe9c6e2441fa4e232146ecd08b4", + "bc745fa3da114007af35ea15dbd7ab7d", + "127ed424448840cea8b14fc9997b9cde", + "803f5904c00d4cde8729226139e3c258", + "4a273a69979b466dbf1c987552101fbf", + "68893d4db1f74557932d8b24e0f72820", + "3ccdc55cf6384695967eaf79325b1aef", + "859bc87dfda746819298e213e4e0b067", + "32478ec41d044773b70eba24e2ac0b43", + "5aeb33ba799149c1ad6e580a2a1c0a51", + "a2e31ba35dcf41c79c72dfd431da781f", + "f7c089469828416aa89ade0cfa5a04cc", + "3a52a2ec426b4fc2aaad23c7d8ce6d2b", + "c298081665e844539b8d366325dbdab5", + "65b1731e23364d4ea0bb292550d4a403", + "5f6fd4c19b34458aa8f2019a25bfd605", + "33dda465ac2f42fb8846171a974193ac", + "bf6bc9099d1a475884be6f15115f01ad", + "cdc411110d1b405ea12342b57fd8de30", + "84d445570b31490fb658b08f819dd6a7", + "ceb3830da80146da8fbe6423d25fd8a3", + "d58599afce36484c8508c16beba13e36", + "d43eea508a4d496e9460f01931659b52", + "b146c0bbd15644678198977d63edebb7", + "aa0323eef053447b9836931535984912", + "effec7acec3d4b5384bcf481e3263b6c", + "03ec8d28c0f34116b42e4e0dc65e3dd3", + "9fd5df9115cf4deb8a36daf4a654bfc7", + "cd6e07c3984a4e0e920d87c6ebd6ad1c", + "b0831169530b402cac31b1e60484fbb2", + "ccabf636e15e471cb82bb431b5ab4b5c", + "e4120afe895742848cf756fd58cb42f8", + "fe6eabd38a614113b36bafd1f8ce6920", + "9b12628a46c546aebe2c749085ba2e61", + "63d48b48f4ce449e85a55477df0b6967", + "068c416eaaed476eacffb8f2f343e08f", + "9fd3fe23f14b4403a18ec7d73b64dc6a", + "cf639313cba7442893fdf880d368616d", + "4bd0cf4d31604194a7761ea0345cc0a4", + "783ad9a7097e4fcdb768c8ecb1f21227", + "2557c3090a8d4760ae844fb518e1b555", + "b508872df72d45beb26a625c7499cc8b", + "cbc6fe3cc12a4d79ba08b67f23e5ce01", + "d0d340fa13a54bcf9f1130cc2fc09cc8", + "5d7fce052f8e4937adaaa670be8c1ae4", + "77939b191e82425da0a5908fdbca2a2d", + "30dc6079591b4908a57f5e285ebeda68", + "960bd84fc3fe4d8eb7e79ecba0f3edf6", + "bb7c7c1866af4641bc07d1ff0a5cd069", + "0dc6aefaa24043768d656f5a61d79545", + "d27056ab29e04c448fc62f9f18cbb82d", + "926319902fe84c5095e0b5bd4b3e8187", + "9f660e1b7b9c4ae7922d51353783acf9", + "82d00942a39e465c8a6f869ef97cc250", + "b9e2b829291247619a7b37c9f544d395", + "3f6ccae685e34d05be9fde5538dc48cf", + "3df8638084104cb7a0530a96ec6201af", + "06d1fd85a45541609d11ec7f0bd3b444", + "a9d05a8c3aaf4fe0a2f061c3eeb48b44", + "8095a44a62804d6d86c24d62b9e1a1c1", + "f61b85b63d5147db9f1040f30f4a3034", + "e152d696872242ab8e0bc00ce9b50142", + "623e912cfe404e69a64992fbb1c1bc47", + "69f9e4bf820047658699d55d84d682c0", + "a8306ce933304694aba188495743c2f4", + "1cd708f679de4d319af26797aecca94d" ] }, - "id": "QmUBVEnvCDJv", - "outputId": "0680b8c6-0dcb-447a-b5ce-557cb1b6a85b" + "outputId": "f04a3ea4-0d0f-424d-8265-0fb99fd17ef3" }, "outputs": [ { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:72: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e874eb7fb86d43a5b77a5dfacfa9d8a0", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ "config.json: 0%| | 0.00/1.04k [00:00\\n'\n", " '\\n'\n", @@ -969,12 +979,12 @@ "base_uri": "https://localhost:8080/" }, "id": "6bZsfBuZDeCL", - "outputId": "45c7035e-f016-46ab-9ad4-b0ac389fcc40" + "outputId": "677aef23-d549-44d3-aace-9efda302d1e8" }, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ "Unsloth 2024.1 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers.\n" ] @@ -991,7 +1001,8 @@ " bias = \"none\", # Currently only supports bias = \"none\"\n", " use_gradient_checkpointing = True,\n", " random_state = 3407,\n", - " max_seq_length = max_seq_length,\n", + " use_rslora = False, # We support rank stabilized LoRA\n", + " loftq_config = None, # And LoftQ\n", ")" ] }, @@ -1027,44 +1038,44 @@ "base_uri": "https://localhost:8080/", "height": 104, "referenced_widgets": [ - "f29440fa274c43809ce9b008f8a61ed9", - "b5ed6177daa74fb5ab8e28a050d5fcfd", - "2c44b6297394458f8c56ee66e97cbd56", - "cfbbbeb2d66d4e80adb96bf3f8be2ff7", - "64d0811807b74a9c99d09390612287de", - "7af647b06e3c4ea69a3b239098fd64cf", - "4ce289d0f23449dab2dc5455cac6182e", - "9bdb645f28cf472cb00e5ba139f7347a", - "baed51e023c24d40b4d463894cc6a067", - "a049050103b24a3bb0ff201c87f42fc4", - "59ee90a791574570bd1c1327d54e30f1" + "1410214ec6fd4e19a200b5e03464ceee", + "0ba04e31d310422f9efaef634afb1296", + "6ac7582965d341c383c806ae3a8b513a", + "971371cfb1bd447e94f9f2e38f9f50c8", + "3d4dbe5814d24b7dae1a7462a33e7f40", + "6b4743fee43b40638d8f2df36fa9fed9", + "77f706dc09eb43d7aa4522f8a0b36142", + "175c7bb9e8c94b8daa3287dd773b6837", + "a10418a202e14a96893e24267bc194c9", + "8138d9f175df4a28b2e58e9c852cabb8", + "43b39a8abcb94847bc21ec16fa373ed9" ] }, "id": "QtoqUw80QDV0", - "outputId": "4afaedc7-7063-4160-fca2-ecb71bad2e66" + "outputId": "40764ccc-6502-4be1-fb4f-e386f5460147" }, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/trl/trainer/dpo_trainer.py:294: UserWarning: When using DPODataCollatorWithPadding, you should set `remove_unused_columns=False` in your TrainingArguments we have set it for you, but you should do it yourself in the future.\n", " warnings.warn(\n" ] }, { + "output_type": "display_data", "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f29440fa274c43809ce9b008f8a61ed9", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ "Map: 0%| | 0/309 [00:00" + ], "text/html": [ "\n", "
\n", " \n", " \n", - " [114/114 1:10:45, Epoch 2/3]\n", + " [114/114 1:06:24, Epoch 2/3]\n", "
\n", " \n", " \n", @@ -1172,1367 +1184,1363 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
30.6916000.0031990.0000520.8750000.003147-172.792282-202.696640-2.464586-2.7281660.6922000.001937-0.0000080.6250000.001945-172.792877-202.709259-2.464616-2.728198
40.695100-0.0015570.0024100.125000-0.003966-117.720329-170.735352-2.592084-2.8059010.6927000.000855-0.0001300.7500000.000985-117.745728-170.711212-2.591983-2.805891
50.693600-0.001848-0.0009510.6925000.001272-0.0000440.500000-0.000897-197.054352-338.753784-2.5418330.001315-197.045288-338.722626-2.541809-2.483452
60.6935000.0017330.0023730.375000-0.000640-279.668030-188.664688-2.870125-2.6330150.693700-0.0001550.0010340.500000-0.001189-279.681396-188.683563-2.870259-2.633069
70.694400-0.0014850.0009830.375000-0.002468-157.641891-236.214722-2.510456-2.8383290.692600-0.001525-0.0026550.6250000.001130-157.678253-236.215118-2.510528-2.838598
80.695900-0.0012330.0041720.250000-0.005405-451.754211-493.157379-2.676884-2.6776600.6925000.0032460.0019370.5000000.001309-451.776550-493.112579-2.677159-2.677977
90.6919000.0027810.0002740.693600-0.003702-0.0027730.5000000.002507-198.049500-405.621704-2.366738-2.639533-0.000929-198.079987-405.686523-2.366659-2.640016
100.6919000.001583-0.0008670.6859000.009754-0.0048010.7500000.002450-192.027969-238.243286-2.734776-2.7659390.014555-192.067322-238.161560-2.735095-2.766379
110.6929000.000210-0.0002820.5000000.000492-279.060547-242.698013-2.741585-2.7071330.6901000.006233-0.0001020.6250000.006335-279.058716-242.637787-2.741516-2.707231
120.6907000.002133-0.0028650.6768000.029851-0.0037070.8750000.004998-293.286072-297.428986-2.636093-2.7975320.033558-293.294495-297.151794-2.636089-2.797787
130.6933000.0007930.0011400.375000-0.000347-422.437988-440.254791-2.782841-2.7223140.6849000.0359300.0185580.6250000.017372-422.263824-439.903442-2.782973-2.722686
140.693800-0.001575-0.0003110.375000-0.001263-229.166489-517.634277-2.761792-2.8766370.691100-0.007306-0.0126850.5000000.005379-229.290237-517.691650-2.761815-2.876947
150.6932000.0011830.0012570.250000-0.000073-229.948364-368.679657-2.687079-2.8487940.6757000.0522420.0163290.8750000.035913-229.797638-368.169067-2.686517-2.849208
160.6926000.0025480.0013840.6250000.001164-153.684021-214.476501-2.553330-2.6698350.6710000.0496200.0028340.7500000.046786-153.669510-214.005783-2.551779-2.668840
170.6913000.002753-0.0009080.8750000.003661-145.049057-178.315857-2.551767-2.7454120.6592000.031351-0.0393430.7500000.070693-145.433411-178.029861-2.550349-2.744968
180.693300-0.001510-0.0012900.375000-0.000220-193.493317-307.417603-2.546383-2.7940160.6709000.042720-0.0036640.6250000.046384-193.517059-306.975281-2.544961-2.794021
190.6917000.0051410.0022400.7500000.002900-248.701904-226.629242-2.847236-2.7591870.6824000.0496490.0265230.6250000.023126-248.459091-226.184174-2.847072-2.758221
200.6925000.0050210.0037000.6250000.001321-265.856720-421.315674-2.905803-2.9477150.6679000.0970720.0450650.8750000.052007-265.443054-420.395142-2.906176-2.950474
210.694900-0.0004420.0029560.375000-0.003398-156.539444-202.226196-2.447355-2.5384930.7124000.0095290.0392240.500000-0.029695-156.176773-202.126480-2.445233-2.536827
220.6898000.002207-0.0044260.6250000.006633-240.908142-258.819641-2.661672-2.7600960.6647000.027259-0.0323890.7500000.059647-241.187759-258.569122-2.660511-2.759560
230.6873000.007077-0.0047230.8750000.011800-172.381485-306.969055-2.421829-2.7955700.6124000.111760-0.0642760.7500000.176036-172.977020-305.922211-2.420000-2.796694
240.6936000.0035910.0044610.500000-0.000870-180.786728-225.256119-2.247471-2.3710350.6752000.0642460.0218860.3750000.042360-180.612473-224.649567-2.242796-2.368723
250.6887000.002078-0.0067810.6383000.059822-0.0552700.8750000.008858-109.244751-135.704803-2.537647-2.6940380.115092-109.729645-135.127365-2.535609-2.693033
260.6923000.0040200.0023250.6821000.0448420.0196940.6250000.001695-218.140793-216.836838-2.350788-2.3095950.025148-217.967117-216.428604-2.346493-2.305699
270.6885000.007711-0.0017270.6017000.134719-0.0653190.8750000.009437-253.585098-276.549164-2.410436-2.6202860.200038-254.221039-275.279114-2.407781-2.619088
280.6934000.0016740.0021270.375000-0.000453-241.141602-239.870850-2.711540-2.7870730.6906000.026908-0.0051210.5000000.032030-241.214081-239.618500-2.711054-2.787158
290.6884000.001827-0.0077940.7500000.009621-176.143845-202.277985-2.833032-2.7382280.6406000.031898-0.0916800.6250000.123578-176.982712-201.977280-2.830093-2.735838
300.6823000.017523-0.0044491.0000000.021972-289.187653-317.038971-2.557965-2.7773540.5594000.228695-0.0727010.8750000.301397-289.870209-314.927216-2.553982-2.775172
310.6920000.0029310.0004760.6797000.034291-0.0202820.8750000.002455-250.866531-230.197632-2.658638-2.6525160.054574-251.074112-229.884064-2.657125-2.649465
320.6847000.006979-0.0101720.6099000.073758-0.1133770.7500000.017150-182.629639-287.150208-2.427922-2.8397520.187135-183.661713-286.482422-2.423700-2.839998
330.6885000.0100150.0002860.7500000.009729-394.385437-513.798523-2.927996-2.9071340.6464000.127758-0.0202950.6250000.148053-394.591248-512.621033-2.927793-2.909138
340.6876000.000746-0.0104270.6374000.028342-0.0901540.8750000.011174-213.292419-186.554916-2.781289-2.6418310.118495-214.089691-186.278961-2.780502-2.638843
350.694400-0.0001880.0023970.6820000.006539-0.0167020.500000-0.002585-210.052170-83.598724-2.734563-2.3237550.023241-210.243164-83.531448-2.730125-2.316058
360.6767000.020572-0.0129790.7500000.033551-278.073486-431.871216-2.437477-2.6560880.5332000.213769-0.1952081.0000000.408977-279.895813-429.939270-2.432103-2.655017
370.6907000.004792-0.0001680.6563000.063138-0.0163030.7500000.004959-141.254837-138.760544-2.480301-2.5541940.079441-141.416199-138.177078-2.473918-2.547494
380.6871000.010404-0.0018650.6510000.094509-0.0193900.8750000.012269-199.933395-166.619339-2.244387-2.3434390.113899-200.108643-165.778290-2.236758-2.336314
390.6855000.004061-0.0114040.5521000.149231-0.2008120.8750000.015465-230.984711-224.525558-2.661340-2.7206860.350043-232.878784-223.073883-2.657633-2.716261
400.6730000.014156-0.0269980.4006000.367951-0.6397711.0000000.041154-260.884521-176.705002-2.687092-2.7365331.007722-267.012238-173.167068-2.681762-2.732720
410.6812000.013829-0.0101900.8750000.024019-183.548355-199.252533-2.620351-2.4707300.4370000.394438-0.2883461.0000000.682784-186.329910-195.446442-2.616049-2.464377
420.6692000.031616-0.0173440.8750000.048961-180.883789-351.244385-2.498347-2.7745420.3732000.502430-0.3947051.0000000.897135-184.657394-346.536224-2.492926-2.774618
430.6854000.003653-0.0119420.5272000.093942-0.3000911.0000000.015595-128.027740-116.247787-2.753370-2.7233120.394033-130.909210-115.344902-2.750227-2.718995
440.6739000.028433-0.0113280.8750000.039760-225.523666-322.012604-2.543076-2.6994200.3940000.518654-0.3854591.0000000.904113-229.264954-317.110352-2.540475-2.699816
450.6622000.034732-0.0285470.2812000.686930-0.6968121.0000000.063279-237.588928-289.570129-2.249139-2.5918061.383742-244.271576-283.048157-2.240731-2.588020
460.6590000.036781-0.0327900.2422000.650970-0.7057721.0000000.069571-196.792236-265.052399-2.553383-2.7153591.356742-203.522079-258.910522-2.546949-2.711936
470.6725000.029729-0.0122670.3945000.561647-0.3382731.0000000.041996-139.111206-245.212021-2.533509-2.6134700.899920-142.371277-239.892838-2.526323-2.609220
480.6711000.025400-0.0194370.3748000.471081-0.4278501.0000000.044837-156.875183-217.185425-2.432833-2.5757210.898931-160.959320-212.728607-2.422826-2.570896
490.6611000.035756-0.0304020.3270000.703227-0.6393341.0000000.066158-213.846985-212.789627-2.647654-2.7149581.342561-219.936340-206.114929-2.642008-2.712688
500.6632000.021139-0.0401360.2860000.396052-0.9694041.0000000.061275-348.077393-312.627441-2.757344-2.6759751.365456-357.370056-308.878326-2.753402-2.674081
510.6533000.038236-0.0433190.1918000.713322-1.0663141.0000000.081555-395.500549-342.811859-2.567836-2.7081351.779635-405.730530-336.061005-2.561202-2.704443
520.6743000.021404-0.0169690.3787000.434130-0.5077351.0000000.038373-226.740570-203.308228-2.689174-2.7131070.941865-231.648224-199.180984-2.683644-2.706589
530.6757000.022191-0.0133470.4468000.479577-0.3294271.0000000.035538-127.214119-299.697296-2.689854-2.7472660.809003-130.374908-295.123444-2.684445-2.744673
540.6580000.041239-0.0308040.2730000.722516-0.6103641.0000000.072043-234.094452-341.478027-2.658128-2.8455221.332880-239.890060-334.665283-2.653185-2.843446
550.678700-0.002169-0.0313711.0000000.029202-182.520050-130.642044-2.751769-2.6538540.4524000.024534-0.6295510.8750000.654085-188.501862-130.375015-2.748917-2.645331
560.6591000.035994-0.0338550.2661000.659037-0.7109141.0000000.069849-206.904007-332.754486-2.633317-2.7460631.369951-213.674606-326.524048-2.625597-2.745638
570.6408000.072543-0.0359490.8750000.108491-347.537323-594.679443-2.610380-2.9385680.2104001.066818-0.8941501.0000001.960968-356.119354-584.736694-2.604546-2.943971
580.6568000.031076-0.0434050.2166000.581929-0.9848441.0000000.074480-242.280487-208.374329-2.675403-2.8235311.566772-251.694885-202.865784-2.672240-2.820692
590.6465000.053982-0.0435620.2520000.775185-0.8553211.0000000.097543-221.657608-250.691666-2.548671-2.6719371.630505-229.775177-243.479630-2.541421-2.667074
600.6517000.044328-0.0409830.2357000.678536-0.8906561.0000000.085311-237.457428-243.843521-2.340865-2.4171221.569192-245.954163-237.501450-2.326149-2.406452
610.6687000.016157-0.0337560.3708000.287420-0.7023320.8750000.049913-181.521423-230.741577-2.583697-2.6713470.989753-188.207214-228.028946-2.577148-2.665427
620.6505000.042586-0.0457360.2629000.559217-0.9179121.0000000.088322-227.009842-248.078140-2.601808-2.6669261.477129-235.731598-242.911835-2.600375-2.666599
630.6663000.039459-0.0154920.8750000.054951-239.231415-254.349426-2.788095-2.9221150.3200000.677785-0.5267131.0000001.204498-244.343613-247.966156-2.786634-2.922563
640.6601000.036744-0.0314290.8750000.068173-255.638794-338.323608-2.834287-2.8955200.2945000.573417-0.7644631.0000001.337880-262.969116-332.956848-2.830733-2.896999
650.6558000.030527-0.0464430.2443000.549664-1.0878091.0000000.076970-236.972427-329.191803-2.574853-2.7199081.637473-247.386093-324.000397-2.571335-2.723726
660.6697000.016352-0.0320690.4765000.178537-0.5667510.8750000.048421-113.009361-182.456314-2.535565-2.6504090.745289-118.356186-180.834473-2.530770-2.648711
670.6565000.035327-0.0399270.2236000.633353-1.1624511.0000000.075254-296.490997-225.676331-2.226444-2.2762121.795804-307.716217-219.696091-2.212558-2.263221
680.6501000.041216-0.0485750.2695000.654256-1.0308381.0000000.089791-187.233826-246.121643-2.574435-2.7390541.685093-197.056473-239.991241-2.563220-2.735702
690.6549000.051283-0.0281920.8750000.079475-308.786011-250.258072-2.803828-2.6653850.2584000.750621-0.8535531.0000001.604174-317.039642-243.264709-2.802447-2.661048
700.6561000.053900-0.0227470.2948000.779875-0.5899200.8750000.076647-225.490479-310.644623-2.522727-2.7454661.369795-231.162201-303.384857-2.517439-2.746666
710.6628000.037783-0.0242220.3017000.602643-0.6357651.0000000.062006-209.903839-270.441864-2.677671-2.7893001.238408-216.019257-264.793274-2.675880-2.789920
720.6602000.043013-0.0242640.2642000.664522-0.7868961.0000000.067276-260.596680-256.450012-2.888245-2.8990301.451418-268.222992-250.234924-2.888840-2.899784
730.6571000.063199-0.0110270.8750000.074227-369.544830-382.099243-2.595025-2.7644280.1945001.065459-0.7016781.0000001.767137-376.451355-372.076660-2.590312-2.763450
740.6375000.069101-0.0474020.2704000.859751-0.8199570.8750000.116503-141.736923-422.295044-2.328428-2.6193771.679707-149.462494-414.388550-2.319313-2.621300
750.6468000.034380-0.0614200.2436000.477052-1.3593351.0000000.095800-338.911743-257.112823-2.674836-2.6319481.836387-351.890869-252.686096-2.666570-2.624575
760.6801000.016118-0.0102620.5218000.133218-0.2856690.7500000.026380-153.983215-192.856201-2.583967-2.7398720.418887-156.737289-191.685196-2.572031-2.732099
770.6535000.037388-0.0447840.8750000.082172-237.917175-373.211090-2.670840-2.8403660.2518000.547161-0.9815021.0000001.528663-247.284332-368.113342-2.663839-2.841396
780.6822000.005111-0.0170310.4836000.198344-0.4287331.0000000.022142-90.056511-75.676575-2.589334-2.6788040.627078-94.173538-73.744232-2.580647-2.671262
790.6492000.048614-0.0424610.2352000.804393-0.9384741.0000000.091075-197.482025-216.437912-2.580309-2.6881871.742867-206.442154-208.880112-2.574049-2.685945
800.6381000.067506-0.0473590.2149000.959676-1.0440841.0000000.114865-306.641571-243.717010-2.727369-2.7131672.003760-316.608826-234.795319-2.721649-2.706306
810.6304000.046541-0.0859170.1470000.606548-1.5988091.0000000.132458-205.164703-226.345978-2.571737-2.6493762.205357-220.293610-220.745911-2.564118-2.648017
820.6399000.046804-0.0636670.1586000.695428-1.4124611.0000000.110471-255.351227-232.954865-2.444653-2.5469932.107888-268.839172-226.468628-2.439530-2.542942
830.6479000.043133-0.0505450.2492000.614686-0.9543721.0000000.093678-143.658051-267.885437-2.450764-2.6221561.569058-152.696320-262.169922-2.440640-2.618743
840.6234000.066124-0.0815650.1750000.862260-1.4437031.0000000.147689-269.404785-331.960785-2.679103-2.7774522.305963-283.026184-323.999420-2.673517-2.778322
850.6253000.093795-0.0486010.1523001.219675-1.1419701.0000000.142396-250.066422-298.300201-2.747368-2.8528502.361645-261.000122-287.041412-2.748819-2.854210
860.6522000.047347-0.0374430.2615000.703294-0.7668851.0000000.084790-102.290405-187.495880-2.346936-2.5611241.470178-109.584824-180.936401-2.330353-2.552672
870.5971000.108838-0.0949470.0570001.309202-1.8126321.0000000.203784-415.374237-581.638367-2.975214-2.9116193.121835-432.551086-569.634766-2.979058-2.924992
880.6096000.089707-0.0884180.1134001.130503-1.8258131.0000000.178125-398.111847-336.481079-2.793868-2.5681072.956316-415.485809-326.073120-2.788409-2.560507
890.6359000.066105-0.0535450.1812000.784262-1.2307241.0000000.119650-250.390030-384.719116-2.739915-2.6778822.014986-262.161804-377.537537-2.736547-2.671477
900.6110000.094179-0.0797890.1021001.122743-1.4968601.0000000.173968-382.315125-394.539276-2.684922-2.8756592.619603-396.485840-384.253632-2.682523-2.880081
910.6254000.085292-0.0568670.1454001.151220-1.0967531.0000000.142159-205.984009-335.645020-2.549550-2.7177202.247973-216.382874-324.985718-2.543500-2.719545
920.6218000.068006-0.0816110.1356000.915327-1.4242271.0000000.149617-339.634094-360.694153-2.709456-2.9038182.339553-353.060242-352.221008-2.704442-2.904936
930.6557000.047537-0.0295530.2656000.771701-0.6724461.0000000.077090-115.142799-260.806763-2.594357-2.7151601.444147-121.571732-253.565125-2.585968-2.709661
940.6396000.055383-0.0578900.2103000.828890-1.1822841.0000000.113273-209.325363-226.800201-2.263216-2.4436852.011175-220.569305-219.065125-2.253163-2.439387
950.6446000.045497-0.0555990.1673000.742948-1.2230571.0000000.101096-227.701065-268.792511-2.571428-2.7905031.966005-239.375641-261.817993-2.562728-2.784313
960.6627000.024437-0.0378910.8750000.062327-188.535080-184.081863-2.675784-2.8537570.2891000.318967-1.0594281.0000001.378395-198.750443-181.136566-2.669433-2.856450
970.6340000.036011-0.0890010.1931000.473150-1.6728791.0000000.125011-203.472717-158.047913-2.858229-2.8026962.146029-219.311478-153.676514-2.851680-2.796827
980.6452000.041265-0.0586300.8750000.099896-147.259262-241.107040-2.673885-2.7287430.2078000.637917-1.2000111.0000001.837928-158.673050-235.140503-2.663034-2.721454
990.6574000.027796-0.0459030.8750000.073699-152.992294-178.524979-2.415729-2.7261500.2604000.444965-0.9460551.0000001.391021-161.993805-174.353287-2.403941-2.721178
1000.6315000.043453-0.0851620.1450000.601810-1.6485751.0000000.128614-193.779343-156.529266-2.446479-2.5374832.250385-209.413452-150.945694-2.433372-2.527679
1010.6447000.059261-0.0422160.2024000.970933-0.9494731.0000000.101477-239.048523-249.522369-2.556858-2.8029051.920407-248.121094-240.405640-2.550437-2.803463
1020.6356000.072766-0.0485410.8750000.121307-247.841553-236.061722-2.710063-2.5571760.1444001.012043-1.2787881.0000002.290831-260.144043-226.668945-2.700693-2.540809
1030.6565000.035755-0.0394880.2343000.627674-0.9607621.0000000.075243-145.012451-165.547180-2.728357-2.7725791.588436-154.225189-159.628006-2.725933-2.771981
1040.6529000.039176-0.0439770.8750000.083153-198.680023-231.717743-2.430846-2.5284180.2413000.620007-1.0557921.0000001.675798-208.798172-225.909439-2.412787-2.513871
1050.6166000.104496-0.0572140.1301001.341354-1.1761101.0000000.161710-248.830582-398.110840-2.472265-2.7863512.517464-260.019531-385.742279-2.458776-2.786789
1060.6408000.069526-0.0393450.1846000.906436-0.9388551.0000000.108871-230.877518-378.959503-2.584360-2.7717231.845291-239.872620-370.590424-2.573937-2.770343
1070.6279000.077549-0.0602030.1930000.909325-1.1228831.0000000.137752-184.436127-331.978729-2.613068-2.8100342.032207-195.062927-323.660950-2.605916-2.813245
1080.6411000.062340-0.0454820.1829000.899943-1.0530201.0000000.107821-193.510544-236.701370-2.472780-2.6156511.952963-203.585938-228.325348-2.465954-2.610229
1090.6396000.063451-0.0501690.8750000.113619-174.547577-269.642944-2.326431-2.4560720.2199000.795095-1.1292891.0000001.924384-185.338791-262.326508-2.308619-2.451966
1100.6508000.047151-0.0412710.2569000.728312-0.8736661.0000000.088421-173.169586-174.600586-2.659404-2.6376731.601979-181.493530-167.788956-2.650259-2.627371
1110.6289000.089443-0.0453570.8750000.134800-292.942871-368.299500-2.448925-2.6523670.1307001.187222-1.2497721.0000002.436995-304.987030-357.321716-2.437974-2.653895
1120.6724000.028686-0.0134180.3454000.525752-0.4752950.8750000.042104-92.405304-134.066833-2.416434-2.5781951.001047-97.024063-129.096161-2.403481-2.571845
1130.6731000.017251-0.0235170.3365000.365618-0.6406551.0000000.040768-104.922539-79.426987-2.740997-2.5669771.006273-111.093918-75.943321-2.735875-2.555395
1140.6187000.071029-0.0870800.8750000.158109-322.882080-338.982452-2.519094-2.4792100.0815001.106894-1.9686001.0000003.075494-341.697296-328.623779-2.506866-2.463103

" - ], - "text/plain": [ - "" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { + "output_type": "execute_result", "data": { "text/plain": [ - "TrainOutput(global_step=114, training_loss=0.6645530284496776, metrics={'train_runtime': 4282.1008, 'train_samples_per_second': 0.216, 'train_steps_per_second': 0.027, 'total_flos': 0.0, 'train_loss': 0.6645530284496776, 'epoch': 2.94})" + "TrainOutput(global_step=114, training_loss=0.397163258179238, metrics={'train_runtime': 4017.5003, 'train_samples_per_second': 0.231, 'train_steps_per_second': 0.028, 'total_flos': 0.0, 'train_loss': 0.397163258179238, 'epoch': 2.94})" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "execution_count": 10 } ], "source": [ @@ -2545,11 +2553,22 @@ "id": "Zt9CHJqO6p30" }, "source": [ - "And we're done! If you have any questions on Unsloth, we have a Discord channel! If you find any bugs or issues, feel free to make an issue on either Unsloth, TRL or PEFT! Thanks!\n", + "And we're done! If you have any questions on Unsloth, we have a [Discord](https://discord.gg/u54VK8m8tk) channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!\n", + "\n", + "Some other links:\n", + "1. Mistral 7b 2x faster [free Colab](https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing)\n", + "2. Llama 7b 2x faster [free Colab](https://colab.research.google.com/drive/1lBzz5KeZJKXjvivbYvmGarix9Ao6Wxe5?usp=sharing)\n", + "3. TinyLlama 4x faster full Alpaca 52K in 1 hour [free Colab](https://colab.research.google.com/drive/1AZghoNBQaMDgWJpi4RbffGM1h6raLUj9?usp=sharing)\n", + "4. CodeLlama 34b 2x faster [A100 on Colab](https://colab.research.google.com/drive/1y7A0AxE3y8gdj4AVkl2aZX47Xu3P1wJT?usp=sharing)\n", + "5. Mistral 7b [free Kaggle version](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)\n", + "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n", + "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n", + "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n", + "\n", "

\n", - " \n", - " \n", - " \n", + " \n", + " \n", + " Support our work if you can! Thanks!\n", "
" ] } @@ -2568,86 +2587,32 @@ }, "widgets": { "application/vnd.jupyter.widget-state+json": { - "0010cc35659944efa5cccc638e0aaa0d": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "00273f529fc4482b83d90892421b2f38": { + "4c7a9e6327fc4b839f1e2eee705e1574": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_95abfe070a1042ceb459ddd9a719b4ed", - "max": 116, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_41a7293a45174bf69178d0e88aeb9f89", - "value": 116 + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_904fef1ac7404cc8a33e65ffe8938c8b", + "IPY_MODEL_f7562580501845e9a67ab9a8b4a96ba0", + "IPY_MODEL_96f9847627504ae7abe7461e4c0b3cff" + ], + "layout": "IPY_MODEL_5165aa69bef148af9717d90cc5a870b1" } }, - "0319a89ed480439eb7eb3054ea998fd1": { + "904fef1ac7404cc8a33e65ffe8938c8b": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -2659,52 +2624,61 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_a561436a825d44eda5fb6beab0124098", + "layout": "IPY_MODEL_e6dfcf0456824556ad09fe7945674a14", "placeholder": "​", - "style": "IPY_MODEL_43575bbb406a4b14a29c394b266fc877", - "value": " 61966/61966 [00:02<00:00, 27897.51 examples/s]" + "style": "IPY_MODEL_80568bca0c604eaaab2933fc76da2bf0", + "value": "config.json: 100%" } }, - "04ba536ded2e407e9d698df696d819d8": { + "f7562580501845e9a67ab9a8b4a96ba0": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HTMLView", + "_view_name": "ProgressView", + "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_7072458c520643a88e827ddc11d933f7", - "placeholder": "​", - "style": "IPY_MODEL_69c30e7c1ba5498e82b854f9968887d6", - "value": " 2.84M/2.84M [00:00<00:00, 8.87MB/s]" + "layout": "IPY_MODEL_079284acd5c6454eb03d8876a62e6f12", + "max": 1042, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1d917d774780421fbdca680009a706ac", + "value": 1042 } }, - "058a920f8b23400896363b9f799e5428": { + "96f9847627504ae7abe7461e4c0b3cff": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_342cf2a9d6674b4d94fdbaf3b63b9b79", + "placeholder": "​", + "style": "IPY_MODEL_16ace0251b954bc08a33eaf3b2a47216", + "value": " 1.04k/1.04k [00:00<00:00, 48.4kB/s]" } }, - "05e9c12c3f674e3c82fdac439ee28281": { + "5165aa69bef148af9717d90cc5a870b1": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -2753,10 +2727,10 @@ "width": null } }, - "08eeb449819d47409de21b90da03c70d": { + "e6dfcf0456824556ad09fe7945674a14": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -2805,32 +2779,25 @@ "width": null } }, - "08f54e8d74bc49d5bb8992ad1db13376": { + "80568bca0c604eaaab2933fc76da2bf0": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "HBoxModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_68ca7850e8324b378fd1920814b286e4", - "IPY_MODEL_73fc005626674235b96315fe02f83dcf", - "IPY_MODEL_bbea9fee8c404f35b15d6b8f3c36c2b0" - ], - "layout": "IPY_MODEL_49a49f4612fa42f1a1b2d116da44b0a1" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "097a15dc560644a894880d90c0774997": { + "079284acd5c6454eb03d8876a62e6f12": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -2879,40 +2846,26 @@ "width": null } }, - "09815bac90324b9a9f042997b25370a0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "0a578ffc2d8543c7a49fafbf23aff60c": { + "1d917d774780421fbdca680009a706ac": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "0b48053354ed49788897a6fff135cef6": { + "342cf2a9d6674b4d94fdbaf3b63b9b79": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -2961,10 +2914,113 @@ "width": null } }, - "0bc85988e0b0491288c284b63b0f7bb3": { + "16ace0251b954bc08a33eaf3b2a47216": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2cb8afe9c6e2441fa4e232146ecd08b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_bc745fa3da114007af35ea15dbd7ab7d", + "IPY_MODEL_127ed424448840cea8b14fc9997b9cde", + "IPY_MODEL_803f5904c00d4cde8729226139e3c258" + ], + "layout": "IPY_MODEL_4a273a69979b466dbf1c987552101fbf" + } + }, + "bc745fa3da114007af35ea15dbd7ab7d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_68893d4db1f74557932d8b24e0f72820", + "placeholder": "​", + "style": "IPY_MODEL_3ccdc55cf6384695967eaf79325b1aef", + "value": "model.safetensors: 100%" + } + }, + "127ed424448840cea8b14fc9997b9cde": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_859bc87dfda746819298e213e4e0b067", + "max": 4125687685, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_32478ec41d044773b70eba24e2ac0b43", + "value": 4125687685 + } + }, + "803f5904c00d4cde8729226139e3c258": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5aeb33ba799149c1ad6e580a2a1c0a51", + "placeholder": "​", + "style": "IPY_MODEL_a2e31ba35dcf41c79c72dfd431da781f", + "value": " 4.13G/4.13G [00:36<00:00, 186MB/s]" + } + }, + "4a273a69979b466dbf1c987552101fbf": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3013,10 +3069,10 @@ "width": null } }, - "0c4cb2aff30144229987978b34c2aca0": { + "68893d4db1f74557932d8b24e0f72820": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3065,10 +3121,25 @@ "width": null } }, - "0cf684e01fd241b4a5bc419455e89c28": { + "3ccdc55cf6384695967eaf79325b1aef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "859bc87dfda746819298e213e4e0b067": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3117,53 +3188,26 @@ "width": null } }, - "0ecd670fe54c4f6fa73a584505262c60": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_db82b1debf674087b8675cc44c40f83a", - "placeholder": "​", - "style": "IPY_MODEL_7692d345715b4c0282c04044ef5ec9a1", - "value": "Formatting comparisons with prompt template (num_proc=12): 100%" - } - }, - "1480acd3b54a4a0597c586c844fc8e26": { + "32478ec41d044773b70eba24e2ac0b43": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "HBoxModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_737ede300f56426c921c40a1006e9be7", - "IPY_MODEL_6015c7e27d344181a4b7ab6034276abf", - "IPY_MODEL_0319a89ed480439eb7eb3054ea998fd1" - ], - "layout": "IPY_MODEL_600bbbbc4c09408090bc816a2bbc353e" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } }, - "158c8e46a9b34a7a89154ef484187eb2": { + "5aeb33ba799149c1ad6e580a2a1c0a51": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3212,10 +3256,10 @@ "width": null } }, - "173d24c86f43418aa81b4ae38531b40b": { + "a2e31ba35dcf41c79c72dfd431da781f": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -3227,25 +3271,53 @@ "description_width": "" } }, - "17ef306e2a27469da9086652b3acea14": { + "f7c089469828416aa89ade0cfa5a04cc": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3a52a2ec426b4fc2aaad23c7d8ce6d2b", + "IPY_MODEL_c298081665e844539b8d366325dbdab5", + "IPY_MODEL_65b1731e23364d4ea0bb292550d4a403" + ], + "layout": "IPY_MODEL_5f6fd4c19b34458aa8f2019a25bfd605" } }, - "192b08ba99484b38b301426837b0dea9": { + "3a52a2ec426b4fc2aaad23c7d8ce6d2b": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_33dda465ac2f42fb8846171a974193ac", + "placeholder": "​", + "style": "IPY_MODEL_bf6bc9099d1a475884be6f15115f01ad", + "value": "generation_config.json: 100%" + } + }, + "c298081665e844539b8d366325dbdab5": { + "model_module": "@jupyter-widgets/controls", "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -3258,33 +3330,39 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_4e17bbdc4bdd4b34abc83c141607998e", - "max": 179811573, + "layout": "IPY_MODEL_cdc411110d1b405ea12342b57fd8de30", + "max": 116, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_7831284a678340ca9ce6794ec0fdc1bc", - "value": 179811573 + "style": "IPY_MODEL_84d445570b31490fb658b08f819dd6a7", + "value": 116 } }, - "1b4901e1c7c748fc9775af562a802130": { + "65b1731e23364d4ea0bb292550d4a403": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ceb3830da80146da8fbe6423d25fd8a3", + "placeholder": "​", + "style": "IPY_MODEL_d58599afce36484c8508c16beba13e36", + "value": " 116/116 [00:00<00:00, 8.55kB/s]" } }, - "1c22d65275114536b56032173a2b7930": { + "5f6fd4c19b34458aa8f2019a25bfd605": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3333,55 +3411,10 @@ "width": null } }, - "1df925fce5c84167b621ff0de7d3f5d9": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_4b2e98b797c648089e72abd871e6b579", - "max": 5979, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_33fa33cdcde342ebb5aab39d1831bf92", - "value": 5979 - } - }, - "1ee9c355b65e4c059ce870557f675e6c": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_f374fa0c19554feba8ed2c5c62597895", - "placeholder": "​", - "style": "IPY_MODEL_173d24c86f43418aa81b4ae38531b40b", - "value": "Downloading data: 100%" - } - }, - "21ae70b774094988b25768eb7a7db9c2": { + "33dda465ac2f42fb8846171a974193ac": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3430,92 +3463,10 @@ "width": null } }, - "2232df7258c940efa25a0f789dc1721e": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "23888a5e3a9441f09f6e96943587c92f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_42628252c650442d9824b684d8fac22f", - "placeholder": "​", - "style": "IPY_MODEL_17ef306e2a27469da9086652b3acea14", - "value": " 116/116 [00:00<00:00, 5.43kB/s]" - } - }, - "25a23224fd504c48bc4a20c6b47acb10": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_c41bb81611974c11aa5bc31d6e649c65", - "max": 1042, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_e2c7f0b1f20b4bda8269dcd30edcf4ac", - "value": 1042 - } - }, - "26ac6197edea4476abc948042a9cb058": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_85af4c279f4e4efaa54ecc97bbe72e8e", - "placeholder": "​", - "style": "IPY_MODEL_ca30d3124745449191e711dadce629f3", - "value": " 3.50M/3.50M [00:00<00:00, 11.5MB/s]" - } - }, - "2995caed8cd7422b9c3fbeacd11839d8": { + "bf6bc9099d1a475884be6f15115f01ad": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -3527,10 +3478,10 @@ "description_width": "" } }, - "2a5c7b2997744dafad3cfdd16fe931cf": { + "cdc411110d1b405ea12342b57fd8de30": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3579,32 +3530,10 @@ "width": null } }, - "2b6fc1098a5944b0a24b217ae0afbde4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_6001cd0f400f41139dea8da6143e923c", - "IPY_MODEL_1df925fce5c84167b621ff0de7d3f5d9", - "IPY_MODEL_c168e892023e4bfa9817bb3e1d0ebd26" - ], - "layout": "IPY_MODEL_922c78ac68b04f41a1994033d56af782" - } - }, - "2b85e06b09694c63b85bce3b6e21b786": { + "84d445570b31490fb658b08f819dd6a7": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -3617,10 +3546,10 @@ "description_width": "" } }, - "2b9a6556e59b4f5486074928693b0d70": { + "ceb3830da80146da8fbe6423d25fd8a3": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3669,50 +3598,68 @@ "width": null } }, - "2c44b6297394458f8c56ee66e97cbd56": { + "d58599afce36484c8508c16beba13e36": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_9bdb645f28cf472cb00e5ba139f7347a", - "max": 309, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_baed51e023c24d40b4d463894cc6a067", - "value": 309 + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "2c8c2043ab4c48e997c498fcb3169676": { + "d43eea508a4d496e9460f01931659b52": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_b146c0bbd15644678198977d63edebb7", + "IPY_MODEL_aa0323eef053447b9836931535984912", + "IPY_MODEL_effec7acec3d4b5384bcf481e3263b6c" + ], + "layout": "IPY_MODEL_03ec8d28c0f34116b42e4e0dc65e3dd3" } }, - "2de4a1ad087849b6baed62b7456ebcc0": { + "b146c0bbd15644678198977d63edebb7": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9fd5df9115cf4deb8a36daf4a654bfc7", + "placeholder": "​", + "style": "IPY_MODEL_cd6e07c3984a4e0e920d87c6ebd6ad1c", + "value": "tokenizer_config.json: 100%" + } + }, + "aa0323eef053447b9836931535984912": { + "model_module": "@jupyter-widgets/controls", "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -3725,85 +3672,39 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_f79ec936179a43f9986e60a7c8d0465f", - "max": 7116519, + "layout": "IPY_MODEL_b0831169530b402cac31b1e60484fbb2", + "max": 1482, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_70f0c4edf513401c8cf35e0e99f758e1", - "value": 7116519 + "style": "IPY_MODEL_ccabf636e15e471cb82bb431b5ab4b5c", + "value": 1482 } }, - "2dfb2e2e7eb142058d6b0ef81b3dab64": { + "effec7acec3d4b5384bcf481e3263b6c": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e4120afe895742848cf756fd58cb42f8", + "placeholder": "​", + "style": "IPY_MODEL_fe6eabd38a614113b36bafd1f8ce6920", + "value": " 1.48k/1.48k [00:00<00:00, 94.7kB/s]" } }, - "319a5cd1e1f144c7b090eb78bc72a969": { + "03ec8d28c0f34116b42e4e0dc65e3dd3": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "329b73fb10564959821b60dc593f1865": { - "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", - "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3852,10 +3753,10 @@ "width": null } }, - "33585dca549944f3bae76a720aa2d0e2": { + "9fd5df9115cf4deb8a36daf4a654bfc7": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3904,26 +3805,25 @@ "width": null } }, - "33fa33cdcde342ebb5aab39d1831bf92": { + "cd6e07c3984a4e0e920d87c6ebd6ad1c": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "3617457ccb2b4b359421691d4ed2297d": { + "b0831169530b402cac31b1e60484fbb2": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -3972,10 +3872,10 @@ "width": null } }, - "361d8af4dabe4c56aa259cc87179f885": { + "ccabf636e15e471cb82bb431b5ab4b5c": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -3988,10 +3888,10 @@ "description_width": "" } }, - "366ec8fa7e0840daa0d6c24ac3f7a745": { + "e4120afe895742848cf756fd58cb42f8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4040,26 +3940,92 @@ "width": null } }, - "381f92fc57834262b022b12db52a484d": { + "fe6eabd38a614113b36bafd1f8ce6920": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "38e738f0e66c46aba21dba8f7eeed727": { + "9b12628a46c546aebe2c749085ba2e61": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_63d48b48f4ce449e85a55477df0b6967", + "IPY_MODEL_068c416eaaed476eacffb8f2f343e08f", + "IPY_MODEL_9fd3fe23f14b4403a18ec7d73b64dc6a" + ], + "layout": "IPY_MODEL_cf639313cba7442893fdf880d368616d" + } + }, + "63d48b48f4ce449e85a55477df0b6967": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4bd0cf4d31604194a7761ea0345cc0a4", + "placeholder": "​", + "style": "IPY_MODEL_783ad9a7097e4fcdb768c8ecb1f21227", + "value": "tokenizer.model: 100%" + } + }, + "068c416eaaed476eacffb8f2f343e08f": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2557c3090a8d4760ae844fb518e1b555", + "max": 493443, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b508872df72d45beb26a625c7499cc8b", + "value": 493443 + } + }, + "9fd3fe23f14b4403a18ec7d73b64dc6a": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4071,16 +4037,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_158c8e46a9b34a7a89154ef484187eb2", + "layout": "IPY_MODEL_cbc6fe3cc12a4d79ba08b67f23e5ce01", "placeholder": "​", - "style": "IPY_MODEL_5aba62774bae4e15821623ac71700b70", - "value": " 4.13G/4.13G [00:23<00:00, 203MB/s]" + "style": "IPY_MODEL_d0d340fa13a54bcf9f1130cc2fc09cc8", + "value": " 493k/493k [00:00<00:00, 28.2MB/s]" } }, - "3b6cdbd423554b99b27a59d55ae75e8d": { + "cf639313cba7442893fdf880d368616d": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4129,10 +4095,10 @@ "width": null } }, - "3d2ad491df294f1581aedaf1aaf665f9": { + "4bd0cf4d31604194a7761ea0345cc0a4": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4181,25 +4147,10 @@ "width": null } }, - "3d6b10bc206a4735b36e64d25ef8045e": { + "783ad9a7097e4fcdb768c8ecb1f21227": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "402b006eace54404ab744f913befa409": { - "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -4211,10 +4162,10 @@ "description_width": "" } }, - "40d7f6cd4297459f9b403f08b5e8f23a": { + "2557c3090a8d4760ae844fb518e1b555": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4263,10 +4214,10 @@ "width": null } }, - "41a7293a45174bf69178d0e88aeb9f89": { + "b508872df72d45beb26a625c7499cc8b": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -4279,34 +4230,10 @@ "description_width": "" } }, - "420dcbfb1c2846f48ace8a2b06db6aa6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e33403356d724022a5e7ffca38b41561", - "max": 2842622, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_381f92fc57834262b022b12db52a484d", - "value": 2842622 - } - }, - "42628252c650442d9824b684d8fac22f": { + "cbc6fe3cc12a4d79ba08b67f23e5ce01": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4355,10 +4282,10 @@ "width": null } }, - "43575bbb406a4b14a29c394b266fc877": { + "d0d340fa13a54bcf9f1130cc2fc09cc8": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -4370,25 +4297,32 @@ "description_width": "" } }, - "4568f636fa474d50b9176afe278a3187": { + "5d7fce052f8e4937adaaa670be8c1ae4": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_77939b191e82425da0a5908fdbca2a2d", + "IPY_MODEL_30dc6079591b4908a57f5e285ebeda68", + "IPY_MODEL_960bd84fc3fe4d8eb7e79ecba0f3edf6" + ], + "layout": "IPY_MODEL_bb7c7c1866af4641bc07d1ff0a5cd069" } }, - "46e5ba6c322d4a668df5ea498dc29a86": { + "77939b191e82425da0a5908fdbca2a2d": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4400,18 +4334,63 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_c64378457ce04fb8a4938a42721319d3", + "layout": "IPY_MODEL_0dc6aefaa24043768d656f5a61d79545", "placeholder": "​", - "style": "IPY_MODEL_75c0b780a2b24ccc819591e32f31e8e5", - "value": "Downloading data: 100%" + "style": "IPY_MODEL_d27056ab29e04c448fc62f9f18cbb82d", + "value": "tokenizer.json: 100%" } }, - "470b235834304ff785ba0c2732fa20e5": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", + "30dc6079591b4908a57f5e285ebeda68": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_926319902fe84c5095e0b5bd4b3e8187", + "max": 1795303, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9f660e1b7b9c4ae7922d51353783acf9", + "value": 1795303 + } + }, + "960bd84fc3fe4d8eb7e79ecba0f3edf6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_82d00942a39e465c8a6f869ef97cc250", + "placeholder": "​", + "style": "IPY_MODEL_b9e2b829291247619a7b37c9f544d395", + "value": " 1.80M/1.80M [00:00<00:00, 22.0MB/s]" + } + }, + "bb7c7c1866af4641bc07d1ff0a5cd069": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, @@ -4458,10 +4437,10 @@ "width": null } }, - "49a49f4612fa42f1a1b2d116da44b0a1": { + "0dc6aefaa24043768d656f5a61d79545": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4510,50 +4489,25 @@ "width": null } }, - "49eb5549fcd4422987a0c4ceb5b4fc87": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_b21acebd395c4a0dabb14f205cd08bda", - "max": 2000, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_ed93bfd395cd455bbf18b5eedd3a54c1", - "value": 2000 - } - }, - "4a5a796382234e00a701ac3dcb5009ef": { + "d27056ab29e04c448fc62f9f18cbb82d": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "4b2e98b797c648089e72abd871e6b579": { + "926319902fe84c5095e0b5bd4b3e8187": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4602,25 +4556,26 @@ "width": null } }, - "4ce289d0f23449dab2dc5455cac6182e": { + "9f660e1b7b9c4ae7922d51353783acf9": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "4e17bbdc4bdd4b34abc83c141607998e": { + "82d00942a39e465c8a6f869ef97cc250": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4669,10 +4624,25 @@ "width": null } }, - "4e3e75c8c4e74afd89fc277b2666be89": { + "b9e2b829291247619a7b37c9f544d395": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3f6ccae685e34d05be9fde5538dc48cf": { + "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4684,17 +4654,17 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_e92a58712f504c389f4aac8c2cdf88bf", - "IPY_MODEL_f17574eef38b4fdea6fed40892cd6005", - "IPY_MODEL_4e66401b894f4c008987b3ac548fa68c" + "IPY_MODEL_3df8638084104cb7a0530a96ec6201af", + "IPY_MODEL_06d1fd85a45541609d11ec7f0bd3b444", + "IPY_MODEL_a9d05a8c3aaf4fe0a2f061c3eeb48b44" ], - "layout": "IPY_MODEL_e0357e4c7836402fa578d5cb22fedb62" + "layout": "IPY_MODEL_8095a44a62804d6d86c24d62b9e1a1c1" } }, - "4e66401b894f4c008987b3ac548fa68c": { + "3df8638084104cb7a0530a96ec6201af": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4706,16 +4676,40 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_b2a4a11ed4234ba7a241dff1b08305af", + "layout": "IPY_MODEL_f61b85b63d5147db9f1040f30f4a3034", "placeholder": "​", - "style": "IPY_MODEL_9ec2db02b8fa480f9cb6af3e27e188ad", - "value": " 61966/61966 [00:08<00:00, 5757.95 examples/s]" + "style": "IPY_MODEL_e152d696872242ab8e0bc00ce9b50142", + "value": "special_tokens_map.json: 100%" } }, - "51b5d31b3e584723afcbab95c0f14bba": { + "06d1fd85a45541609d11ec7f0bd3b444": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_623e912cfe404e69a64992fbb1c1bc47", + "max": 624, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_69f9e4bf820047658699d55d84d682c0", + "value": 624 + } + }, + "a9d05a8c3aaf4fe0a2f061c3eeb48b44": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4727,16 +4721,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_7e1e8fda631f4736a97b020582ca0805", + "layout": "IPY_MODEL_a8306ce933304694aba188495743c2f4", "placeholder": "​", - "style": "IPY_MODEL_1b4901e1c7c748fc9775af562a802130", - "value": " 1000/1000 [00:00<00:00, 11108.12 examples/s]" + "style": "IPY_MODEL_1cd708f679de4d319af26797aecca94d", + "value": " 624/624 [00:00<00:00, 30.7kB/s]" } }, - "51d70c79c11e4df1aa637ae49e75c72f": { + "8095a44a62804d6d86c24d62b9e1a1c1": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4785,46 +4779,62 @@ "width": null } }, - "51f18d9993214dbea5c99b42cbd816bd": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_714365febd4b4c778cf3a300fd3ee8bc", - "placeholder": "​", - "style": "IPY_MODEL_960e12d25c4a4e5c8d2f31ccc4d3d041", - "value": "Downloading data: 100%" - } - }, - "59ee90a791574570bd1c1327d54e30f1": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", + "f61b85b63d5147db9f1040f30f4a3034": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "5aba62774bae4e15821623ac71700b70": { + "e152d696872242ab8e0bc00ce9b50142": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -4836,74 +4846,10 @@ "description_width": "" } }, - "5ad12f2b58204d3f8f77d12a4a2c04ec": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_ba337b31b13347b9be6e1a43fd0cd8aa", - "placeholder": "​", - "style": "IPY_MODEL_2995caed8cd7422b9c3fbeacd11839d8", - "value": " 624/624 [00:00<00:00, 43.4kB/s]" - } - }, - "5b8655d89c63464c968da114b0077829": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_319a5cd1e1f144c7b090eb78bc72a969", - "placeholder": "​", - "style": "IPY_MODEL_71a02ae95f6745bcb68e25291a59cb4d", - "value": "special_tokens_map.json: 100%" - } - }, - "5ca45f817d784a8aa6c89969136ee53d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_f3b6a130e10e416ea8b95b80c264028d", - "IPY_MODEL_00273f529fc4482b83d90892421b2f38", - "IPY_MODEL_23888a5e3a9441f09f6e96943587c92f" - ], - "layout": "IPY_MODEL_9176ce2d816c4faeb792aa2e95d149ff" - } - }, - "5dcc7b2a47e6495297d36855724940ed": { + "623e912cfe404e69a64992fbb1c1bc47": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -4952,31 +4898,136 @@ "width": null } }, - "5e26903f37f44ccea54b031989bdee07": { + "69f9e4bf820047658699d55d84d682c0": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a8306ce933304694aba188495743c2f4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1cd708f679de4d319af26797aecca94d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5e875e8a442a41e8afef4ad494ef6897": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7adc769f384346b3a5835c73542a2d62", + "IPY_MODEL_fccd2f68b05d40c9b359133fbf383b1c", + "IPY_MODEL_2a197f7c6c4746e1a7fded1e0539bf29" + ], + "layout": "IPY_MODEL_37a2eb8b91ed42a1be411ecb9079a082" + } + }, + "7adc769f384346b3a5835c73542a2d62": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_6b4d1d950cb14c1484ebede77c610e75", + "layout": "IPY_MODEL_833097685a694d1e9cd5aa016b6b7d73", "placeholder": "​", - "style": "IPY_MODEL_b29322681da7490291118b138ebf28ba", - "value": "model.safetensors: 100%" + "style": "IPY_MODEL_4e48c220077d4546a51c02df9397a084", + "value": "Downloading readme: 100%" } }, - "5f40887b20cd444b8fc646da40898c41": { + "fccd2f68b05d40c9b359133fbf383b1c": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -4989,18 +5040,18 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_3b6cdbd423554b99b27a59d55ae75e8d", - "max": 3499355, + "layout": "IPY_MODEL_f6200f86a4084c5f978f62481100b7a3", + "max": 5979, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_c6ccd287b7ef4aaabb25fe43d445fa85", - "value": 3499355 + "style": "IPY_MODEL_530cd47150094e7fb925eb24ec071b5e", + "value": 5979 } }, - "6001cd0f400f41139dea8da6143e923c": { + "2a197f7c6c4746e1a7fded1e0539bf29": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -5012,16 +5063,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_0c4cb2aff30144229987978b34c2aca0", + "layout": "IPY_MODEL_9f6197721b90446091bf8b97de656d4b", "placeholder": "​", - "style": "IPY_MODEL_9f30c0b8c55940f28157c09c86834504", - "value": "Downloading readme: 100%" + "style": "IPY_MODEL_35edd118e5e54d19b87aa7e966e3c9fe", + "value": " 5.98k/5.98k [00:00<00:00, 248kB/s]" } }, - "600bbbbc4c09408090bc816a2bbc353e": { + "37a2eb8b91ed42a1be411ecb9079a082": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5070,34 +5121,10 @@ "width": null } }, - "6015c7e27d344181a4b7ab6034276abf": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_097a15dc560644a894880d90c0774997", - "max": 61966, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_2b85e06b09694c63b85bce3b6e21b786", - "value": 61966 - } - }, - "61055caa570f4ba9bc10e4e30579236b": { + "833097685a694d1e9cd5aa016b6b7d73": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5146,10 +5173,10 @@ "width": null } }, - "6132e04a763449ed9e3710ede1763746": { + "4e48c220077d4546a51c02df9397a084": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -5161,10 +5188,10 @@ "description_width": "" } }, - "6179d85d36f34b51bbac2fc23925a75c": { + "f6200f86a4084c5f978f62481100b7a3": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5213,32 +5240,26 @@ "width": null } }, - "61d8de524f7a4070a5ae811b7c8cc92d": { + "530cd47150094e7fb925eb24ec071b5e": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "HBoxModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_d9527ff9d69f4268a2195524060a9dfa", - "IPY_MODEL_5f40887b20cd444b8fc646da40898c41", - "IPY_MODEL_26ac6197edea4476abc948042a9cb058" - ], - "layout": "IPY_MODEL_8811335900fb4238b06abd62dffe70d7" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } }, - "6283d5ae17b544e8b49de72af49c171f": { + "9f6197721b90446091bf8b97de656d4b": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5287,10 +5308,113 @@ "width": null } }, - "64d0811807b74a9c99d09390612287de": { + "35edd118e5e54d19b87aa7e966e3c9fe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3b258a09c7e0462e9d9fefa6746ebb9f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ade70be3dc49443581a295e89faa65c6", + "IPY_MODEL_ad03a2ff7f974fa3a0f1be2dee56c9a0", + "IPY_MODEL_727d7d710957497c8bb91d52a04a00f3" + ], + "layout": "IPY_MODEL_347ae8c1baf54004953d0eb9325f39f8" + } + }, + "ade70be3dc49443581a295e89faa65c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6b419485aabe49c6bed15b5bf1316e43", + "placeholder": "​", + "style": "IPY_MODEL_9eabdceae6484ba7b543ed1fa4f65141", + "value": "Downloading data: 100%" + } + }, + "ad03a2ff7f974fa3a0f1be2dee56c9a0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6cce73a8bdda4852968c807354a6d212", + "max": 221598833, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7953ace8fec34f358506307a3efb208d", + "value": 221598833 + } + }, + "727d7d710957497c8bb91d52a04a00f3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ba6f8296f866419384de64f6e2cc727e", + "placeholder": "​", + "style": "IPY_MODEL_d3fcca8f0d8c41a3b78bd2470542e950", + "value": " 222M/222M [00:37<00:00, 5.79MB/s]" + } + }, + "347ae8c1baf54004953d0eb9325f39f8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5339,10 +5463,10 @@ "width": null } }, - "66859785d81d455e91032048226a01d4": { + "6b419485aabe49c6bed15b5bf1316e43": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5391,105 +5515,14 @@ "width": null } }, - "66fda39ee94640f9bfbf95b277029f5f": { + "9eabdceae6484ba7b543ed1fa4f65141": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_33585dca549944f3bae76a720aa2d0e2", - "max": 493443, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_749f2a828c024012bc404f62b3110317", - "value": 493443 - } - }, - "67f03cbaad374162af1ac190c3d5e328": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_ee0cab232f21483791b3092420cc7eeb", - "max": 1000, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_f26bf44381394b4596dacca76b168626", - "value": 1000 - } - }, - "68ca7850e8324b378fd1920814b286e4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_c04fa685822d47b4968f14911b3f6ba4", - "placeholder": "​", - "style": "IPY_MODEL_e7807fad01994997bdf00d4ee3ccdfa8", - "value": "Formatting comparisons with prompt template (num_proc=12): 100%" - } - }, - "68d33530886d4996ab8840db7329969e": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_aaafd0ed672241df9406abe0a478ff1f", - "IPY_MODEL_192b08ba99484b38b301426837b0dea9", - "IPY_MODEL_888f40d51e044d429d2f363c72e34e1b" - ], - "layout": "IPY_MODEL_366ec8fa7e0840daa0d6c24ac3f7a745" - } - }, - "69c30e7c1ba5498e82b854f9968887d6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", @@ -5497,53 +5530,10 @@ "description_width": "" } }, - "6a0b0edabcbb454eadba52b2dc2064fd": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_40d7f6cd4297459f9b403f08b5e8f23a", - "placeholder": "​", - "style": "IPY_MODEL_d6bdd8d56daa4f7081c4c06f56b19b0e", - "value": " 1000/1000 [00:00<00:00, 13105.15 examples/s]" - } - }, - "6aedbc6a2ed34d60978f15d23d7652be": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_fba6a9e064494e67876e514f9a69e143", - "IPY_MODEL_49eb5549fcd4422987a0c4ceb5b4fc87", - "IPY_MODEL_b33adaf1c67840529d95e6dd5ad7208f" - ], - "layout": "IPY_MODEL_6179d85d36f34b51bbac2fc23925a75c" - } - }, - "6b4d1d950cb14c1484ebede77c610e75": { + "6cce73a8bdda4852968c807354a6d212": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5592,10 +5582,26 @@ "width": null } }, - "6d9a36489c7a453abf1d90822649dacc": { + "7953ace8fec34f358506307a3efb208d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "ba6f8296f866419384de64f6e2cc727e": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5644,10 +5650,113 @@ "width": null } }, - "6e99c507e18d4d23adca6e9a23cf0004": { + "d3fcca8f0d8c41a3b78bd2470542e950": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "243999bf48174e72ae981effb01117ac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_77e6abd454c94559825201f34d5de044", + "IPY_MODEL_7522d496e9dd41828a4daddb9dd37883", + "IPY_MODEL_13b208926d4a4bae854e057bc9913100" + ], + "layout": "IPY_MODEL_78ab252184ac46eba3e82c076f6b914a" + } + }, + "77e6abd454c94559825201f34d5de044": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_80308f7c18b244a698614fa86bc4c564", + "placeholder": "​", + "style": "IPY_MODEL_9473389066664ed4aa2089c78adbb20d", + "value": "Downloading data: 100%" + } + }, + "7522d496e9dd41828a4daddb9dd37883": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4a6807afa14049c781c7549467b85e1c", + "max": 3499355, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4cc5ba58138d47129b776b04bc2d6646", + "value": 3499355 + } + }, + "13b208926d4a4bae854e057bc9913100": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_90b49ecfaf4a44409b0b405271c9797c", + "placeholder": "​", + "style": "IPY_MODEL_9032335e102f465ea2e1adcc47462a8c", + "value": " 3.50M/3.50M [00:01<00:00, 2.19MB/s]" + } + }, + "78ab252184ac46eba3e82c076f6b914a": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5696,10 +5805,10 @@ "width": null } }, - "7072458c520643a88e827ddc11d933f7": { + "80308f7c18b244a698614fa86bc4c564": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5748,26 +5857,25 @@ "width": null } }, - "70f0c4edf513401c8cf35e0e99f758e1": { + "9473389066664ed4aa2089c78adbb20d": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "714365febd4b4c778cf3a300fd3ee8bc": { + "4a6807afa14049c781c7549467b85e1c": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5816,25 +5924,26 @@ "width": null } }, - "71a02ae95f6745bcb68e25291a59cb4d": { + "4cc5ba58138d47129b776b04bc2d6646": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "71bb73910ab04ab0848f1fc867f67188": { + "90b49ecfaf4a44409b0b405271c9797c": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -5883,41 +5992,47 @@ "width": null } }, - "7230a076728248fc92bc9ef99ee7f9b4": { + "9032335e102f465ea2e1adcc47462a8c": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "7234655b163a4c3c80c28388a1f072fa": { + "6730cd77f7fa416b97f20fc5f5660488": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5a40fa44b76f44f88a24835c1bf00e56", + "IPY_MODEL_57f9a1fd43024e8bbe7c0df0867c8e12", + "IPY_MODEL_8f6c6f07bd254516ae4af2f80d2492f2" + ], + "layout": "IPY_MODEL_5c28f5682c37476384f6a985d42e8360" } }, - "737ede300f56426c921c40a1006e9be7": { + "5a40fa44b76f44f88a24835c1bf00e56": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -5929,16 +6044,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_0bc85988e0b0491288c284b63b0f7bb3", + "layout": "IPY_MODEL_900f8248c6074ea5a93ef9372da4e958", "placeholder": "​", - "style": "IPY_MODEL_e3c1e82cbb8c4eafbb1e7316d5680305", - "value": "Generating train_gen split: 100%" + "style": "IPY_MODEL_39a4f06a16f149789507232e4e28acb6", + "value": "Downloading data: 100%" } }, - "73fc005626674235b96315fe02f83dcf": { + "57f9a1fd43024e8bbe7c0df0867c8e12": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -5951,58 +6066,143 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_9ebb83fdbfa948d5972e261dce47a583", - "max": 309, + "layout": "IPY_MODEL_c558b2bb11274910888b08138d9ee195", + "max": 179811573, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_361d8af4dabe4c56aa259cc87179f885", - "value": 309 + "style": "IPY_MODEL_3635323c2caf4f7ab2034306cdac61cb", + "value": 179811573 } }, - "749f2a828c024012bc404f62b3110317": { + "8f6c6f07bd254516ae4af2f80d2492f2": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d855ad7e63ae45089832de406a3b00e6", + "placeholder": "​", + "style": "IPY_MODEL_bf25365768a0441e8e4121ea1966971d", + "value": " 180M/180M [00:30<00:00, 5.88MB/s]" + } + }, + "5c28f5682c37476384f6a985d42e8360": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "7595ab61957945e192a988916b0fcec9": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", + "900f8248c6074ea5a93ef9372da4e958": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_9f25fb5cf7de47de8b6dd8c9213ec9e3", - "max": 624, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_ec2ab7b05c014f3bac6b15c12bde34d8", - "value": 624 + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "75c0b780a2b24ccc819591e32f31e8e5": { + "39a4f06a16f149789507232e4e28acb6": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -6014,10 +6214,10 @@ "description_width": "" } }, - "768a9a1adf9843c8afadc861016e9dd7": { + "c558b2bb11274910888b08138d9ee195": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6066,56 +6266,93 @@ "width": null } }, - "7692d345715b4c0282c04044ef5ec9a1": { + "3635323c2caf4f7ab2034306cdac61cb": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "77560ba252fa4bf5961e6c8dc99bf88f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", + "d855ad7e63ae45089832de406a3b00e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "7831284a678340ca9ce6794ec0fdc1bc": { + "bf25365768a0441e8e4121ea1966971d": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "788d1b6eb4904b94bcfd9e0929720d1f": { + "757089cbb90f4d538e4a98a9ecee7dc6": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HBoxModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -6127,17 +6364,38 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_5b8655d89c63464c968da114b0077829", - "IPY_MODEL_7595ab61957945e192a988916b0fcec9", - "IPY_MODEL_5ad12f2b58204d3f8f77d12a4a2c04ec" + "IPY_MODEL_d28fb551bdac4910a04bb39b500b9228", + "IPY_MODEL_82cc0b43ea6d4ff4bddce1a1536fef62", + "IPY_MODEL_379878ecc7e44b448425c4155e106477" ], - "layout": "IPY_MODEL_ed1bcf79e7f84a499f41b36cbe4f3a69" + "layout": "IPY_MODEL_5f8ada6bd56b4d79861a8f2bc36b7785" } }, - "78c354a390c54b0a990f052db95a70e3": { + "d28fb551bdac4910a04bb39b500b9228": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3456b1a43ca742e3bd5bcf695a7b548e", + "placeholder": "​", + "style": "IPY_MODEL_56da48c3277342b3ba6841d25a387202", + "value": "Downloading data: 100%" + } + }, + "82cc0b43ea6d4ff4bddce1a1536fef62": { + "model_module": "@jupyter-widgets/controls", "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -6150,33 +6408,39 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_5dcc7b2a47e6495297d36855724940ed", - "max": 4125687685, + "layout": "IPY_MODEL_007871aa8b7f4de7bb0f96ebe08e5283", + "max": 2842622, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_2c8c2043ab4c48e997c498fcb3169676", - "value": 4125687685 + "style": "IPY_MODEL_0611164c2c6f4778adcbda713521155b", + "value": 2842622 } }, - "78c999dc45a44436975ae35a6ba602fc": { + "379878ecc7e44b448425c4155e106477": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a4199d34e668433a98b0fed23ab84541", + "placeholder": "​", + "style": "IPY_MODEL_2b850e92569c4236a683b9df2de49775", + "value": " 2.84M/2.84M [00:01<00:00, 1.96MB/s]" } }, - "79fbf74966144b89b58c53329cf9bc55": { + "5f8ada6bd56b4d79861a8f2bc36b7785": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6225,10 +6489,10 @@ "width": null } }, - "7af647b06e3c4ea69a3b239098fd64cf": { + "3456b1a43ca742e3bd5bcf695a7b548e": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6277,38 +6541,14 @@ "width": null } }, - "7bcc31d5fc7841108e802379b3cfa493": { + "56da48c3277342b3ba6841d25a387202": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_ed109379d3aa40c0ac671100fa431f50", - "max": 61966, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_c478bfd3a39f4a9a80e2c956394f86a4", - "value": 61966 - } - }, - "7c1e77648fbe4807b7249067a0645658": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", @@ -6316,10 +6556,10 @@ "description_width": "" } }, - "7e1e8fda631f4736a97b020582ca0805": { + "007871aa8b7f4de7bb0f96ebe08e5283": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6368,46 +6608,26 @@ "width": null } }, - "80860cdb41994af6b0cf01e086fab528": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_61055caa570f4ba9bc10e4e30579236b", - "placeholder": "​", - "style": "IPY_MODEL_c48be899ccea47bd97252fc8292d44ea", - "value": "Generating test_sft split: 100%" - } - }, - "8546e894584949129f5c20c13d7d115f": { + "0611164c2c6f4778adcbda713521155b": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "85af4c279f4e4efaa54ecc97bbe72e8e": { + "a4199d34e668433a98b0fed23ab84541": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6456,10 +6676,47 @@ "width": null } }, - "86b2a0cba0f1497897d0cc8a4279cbfb": { + "2b850e92569c4236a683b9df2de49775": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "97a28a558b2a4ef997fb35547ef2f51d": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3760dc92a7b64410865257af9f95782c", + "IPY_MODEL_2189b92750854b1f9eaa70dc23d16c55", + "IPY_MODEL_37944b0ab46c4de7acb5e06b91f5da52" + ], + "layout": "IPY_MODEL_461aeb76622449b6a0bb7a794ea16ced" + } + }, + "3760dc92a7b64410865257af9f95782c": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -6471,37 +6728,40 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_6e99c507e18d4d23adca6e9a23cf0004", + "layout": "IPY_MODEL_e98afd2ed7b44211932dc55a2a0c3e3a", "placeholder": "​", - "style": "IPY_MODEL_cdf03b41c0f94373a99fe372a5f13dc3", - "value": "tokenizer.json: 100%" + "style": "IPY_MODEL_dfb40aa450f844e28319893415573906", + "value": "Downloading data: 100%" } }, - "877456268c7d435db6d60946f1516cf3": { + "2189b92750854b1f9eaa70dc23d16c55": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HTMLView", + "_view_name": "ProgressView", + "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_8f392cfe83f847708eb63e3693fe7e18", - "placeholder": "​", - "style": "IPY_MODEL_402b006eace54404ab744f913befa409", - "value": "Downloading data: 100%" + "layout": "IPY_MODEL_841f91867ff5489d92dfb1bbbe76ca70", + "max": 221598833, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4631d92c2f3a44589478a981a4143836", + "value": 221598833 } }, - "8803985e095f45a9b0b66b4ab94883bb": { + "37944b0ab46c4de7acb5e06b91f5da52": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -6513,16 +6773,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_9a8b0c94fc6b44bfa90486816410bda7", + "layout": "IPY_MODEL_e6c183829cfb45e389348c0d5a1d943d", "placeholder": "​", - "style": "IPY_MODEL_8546e894584949129f5c20c13d7d115f", - "value": " 2000/2000 [00:02<00:00, 1302.12 examples/s]" + "style": "IPY_MODEL_feefb2db48a84e7f9808accd7fd68df7", + "value": " 222M/222M [00:51<00:00, 2.84MB/s]" } }, - "8811335900fb4238b06abd62dffe70d7": { + "461aeb76622449b6a0bb7a794ea16ced": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6571,31 +6831,10 @@ "width": null } }, - "888f40d51e044d429d2f363c72e34e1b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_0010cc35659944efa5cccc638e0aaa0d", - "placeholder": "​", - "style": "IPY_MODEL_0a578ffc2d8543c7a49fafbf23aff60c", - "value": " 180M/180M [00:07<00:00, 25.3MB/s]" - } - }, - "8c0207d0b50740b1b6d8e14e882ff013": { + "e98afd2ed7b44211932dc55a2a0c3e3a": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6644,31 +6883,25 @@ "width": null } }, - "8cf44fb3cbb745bea86d61189c5665a0": { + "dfb40aa450f844e28319893415573906": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_768a9a1adf9843c8afadc861016e9dd7", - "placeholder": "​", - "style": "IPY_MODEL_9dfc6867aba4448fa534b8f74d2da3a1", - "value": " 1.04k/1.04k [00:00<00:00, 32.1kB/s]" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "8f392cfe83f847708eb63e3693fe7e18": { + "841f91867ff5489d92dfb1bbbe76ca70": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6717,10 +6950,26 @@ "width": null } }, - "9176ce2d816c4faeb792aa2e95d149ff": { + "4631d92c2f3a44589478a981a4143836": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e6c183829cfb45e389348c0d5a1d943d": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6769,10 +7018,113 @@ "width": null } }, - "922c78ac68b04f41a1994033d56af782": { + "feefb2db48a84e7f9808accd7fd68df7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e10b53d12a134bc6a674bc568e1ab7bf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_80cbef017c5041aab8fe651fe5e5f0a0", + "IPY_MODEL_53d29032d6a64f958dffaced43b46f58", + "IPY_MODEL_1093b380f208425aadf0085c0aebed80" + ], + "layout": "IPY_MODEL_4032d6814ad44a2f86c2f3b9cbb7afad" + } + }, + "80cbef017c5041aab8fe651fe5e5f0a0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_35b0f9e4188f4c22bd2ec62fb8c7e228", + "placeholder": "​", + "style": "IPY_MODEL_3243cc3a35e742048fb4d62f1c448752", + "value": "Downloading data: 100%" + } + }, + "53d29032d6a64f958dffaced43b46f58": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_df9f065bf72b44f289a57855e5f38620", + "max": 7116519, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7303bc3b53094dcd8fd4966f18622f20", + "value": 7116519 + } + }, + "1093b380f208425aadf0085c0aebed80": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0003c40814494b279a4f21e422723caa", + "placeholder": "​", + "style": "IPY_MODEL_124aae7bb4a94223b8ae7f6b8d20961a", + "value": " 7.12M/7.12M [00:03<00:00, 1.38MB/s]" + } + }, + "4032d6814ad44a2f86c2f3b9cbb7afad": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6821,10 +7173,10 @@ "width": null } }, - "928e0ff3f174436b817262603cc78b77": { + "35b0f9e4188f4c22bd2ec62fb8c7e228": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6873,41 +7225,25 @@ "width": null } }, - "938ae07a3b014287a6b0f9d903c61b6b": { + "3243cc3a35e742048fb4d62f1c448752": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "940c965958794b3498415def687b7d56": { - "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "95abfe070a1042ceb459ddd9a719b4ed": { + "df9f065bf72b44f289a57855e5f38620": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -6956,25 +7292,10 @@ "width": null } }, - "960e12d25c4a4e5c8d2f31ccc4d3d041": { + "7303bc3b53094dcd8fd4966f18622f20": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "984f0e2432a8496cb5105a1ffcb69fbd": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -6987,62 +7308,10 @@ "description_width": "" } }, - "9a8b0c94fc6b44bfa90486816410bda7": { + "0003c40814494b279a4f21e422723caa": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "9bdb645f28cf472cb00e5ba139f7347a": { - "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", - "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7091,10 +7360,10 @@ "width": null } }, - "9dfc6867aba4448fa534b8f74d2da3a1": { + "124aae7bb4a94223b8ae7f6b8d20961a": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -7106,10 +7375,10 @@ "description_width": "" } }, - "9e6b808ad9d243c69b099fffef673dec": { + "65ea6829bd484590a9e99f07bbadf52a": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "HBoxModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -7121,17 +7390,83 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_5e26903f37f44ccea54b031989bdee07", - "IPY_MODEL_78c354a390c54b0a990f052db95a70e3", - "IPY_MODEL_38e738f0e66c46aba21dba8f7eeed727" + "IPY_MODEL_404791f1b4034ed9ad68752480b55731", + "IPY_MODEL_84610b3317ec4cad9bfe284ab48f3a0f", + "IPY_MODEL_2ef3a65aadc24bd085f95acf4c3de5f5" ], - "layout": "IPY_MODEL_ac130598ebcc4ae2a426b62a011775e8" + "layout": "IPY_MODEL_a818ce650c9c43deb8f674dd9e08c1ef" + } + }, + "404791f1b4034ed9ad68752480b55731": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3d786f96440a4a76b1b09f80c3d1c0e9", + "placeholder": "​", + "style": "IPY_MODEL_ee568de931f1427f9fb252f24a6bdb01", + "value": "Generating train_sft split: 100%" + } + }, + "84610b3317ec4cad9bfe284ab48f3a0f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a77440b9604140a78d99cca3e9845a1f", + "max": 61966, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_56021b483de347999853740bce5b4066", + "value": 61966 + } + }, + "2ef3a65aadc24bd085f95acf4c3de5f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c1e6987ebc5f40ce90d4c94056c74333", + "placeholder": "​", + "style": "IPY_MODEL_7631d285c62c4c848930eef7390ef58b", + "value": " 61966/61966 [00:02<00:00, 24679.32 examples/s]" } }, - "9ebb83fdbfa948d5972e261dce47a583": { + "a818ce650c9c43deb8f674dd9e08c1ef": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7180,25 +7515,10 @@ "width": null } }, - "9ec2db02b8fa480f9cb6af3e27e188ad": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "9f25fb5cf7de47de8b6dd8c9213ec9e3": { + "3d786f96440a4a76b1b09f80c3d1c0e9": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7247,10 +7567,10 @@ "width": null } }, - "9f30c0b8c55940f28157c09c86834504": { + "ee568de931f1427f9fb252f24a6bdb01": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -7262,10 +7582,10 @@ "description_width": "" } }, - "a049050103b24a3bb0ff201c87f42fc4": { + "a77440b9604140a78d99cca3e9845a1f": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7314,10 +7634,26 @@ "width": null } }, - "a2f1f703a0994bbe949948de631e8f9e": { + "56021b483de347999853740bce5b4066": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "c1e6987ebc5f40ce90d4c94056c74333": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7366,10 +7702,92 @@ "width": null } }, - "a536ba8737f7444d8ddef16ee2f56698": { + "7631d285c62c4c848930eef7390ef58b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "03b41c21d7634543a1b29eaadbf1cd40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ff122787d9174a718b5d3223f53edf22", + "IPY_MODEL_70896fbd2fab4db29322fc78e2cd84c5", + "IPY_MODEL_4673095a06fc47b581f46754117e83fe" + ], + "layout": "IPY_MODEL_435cd70149224c18aeff12ad5d2926b8" + } + }, + "ff122787d9174a718b5d3223f53edf22": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1aa72a1d1d0d4ce4b36b10c8ecf021a8", + "placeholder": "​", + "style": "IPY_MODEL_a004e9208a5f441e9e4e60cc1f6d7aa9", + "value": "Generating test_sft split: 100%" + } + }, + "70896fbd2fab4db29322fc78e2cd84c5": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1407812065e84df28e3cbfce5bc26fc9", + "max": 1000, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a86aecff032345c5a3f176851052bcf0", + "value": 1000 + } + }, + "4673095a06fc47b581f46754117e83fe": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -7381,16 +7799,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_6d9a36489c7a453abf1d90822649dacc", + "layout": "IPY_MODEL_cc8d776ab3b4482ba8a2cab6bce3f310", "placeholder": "​", - "style": "IPY_MODEL_2dfb2e2e7eb142058d6b0ef81b3dab64", - "value": " 222M/222M [00:08<00:00, 26.9MB/s]" + "style": "IPY_MODEL_5052e40d06ed4eefa2f6df4be951aa3d", + "value": " 1000/1000 [00:00<00:00, 10542.80 examples/s]" } }, - "a561436a825d44eda5fb6beab0124098": { + "435cd70149224c18aeff12ad5d2926b8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7439,10 +7857,10 @@ "width": null } }, - "a6d3136cc29d40f09ea868f2eea16e3f": { + "1aa72a1d1d0d4ce4b36b10c8ecf021a8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7491,117 +7909,93 @@ "width": null } }, - "a91b988eba704f3d83b2427008360214": { + "a004e9208a5f441e9e4e60cc1f6d7aa9": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_2a5c7b2997744dafad3cfdd16fe931cf", - "placeholder": "​", - "style": "IPY_MODEL_938ae07a3b014287a6b0f9d903c61b6b", - "value": " 493k/493k [00:00<00:00, 35.1MB/s]" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "aaafd0ed672241df9406abe0a478ff1f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_3d2ad491df294f1581aedaf1aaf665f9", - "placeholder": "​", - "style": "IPY_MODEL_7c1e77648fbe4807b7249067a0645658", - "value": "Downloading data: 100%" - } - }, - "aab86efcdef44b67b6ec7ef05e325957": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_80860cdb41994af6b0cf01e086fab528", - "IPY_MODEL_67f03cbaad374162af1ac190c3d5e328", - "IPY_MODEL_51b5d31b3e584723afcbab95c0f14bba" - ], - "layout": "IPY_MODEL_de083abd1c834a819c786d22d2ca8bd0" - } - }, - "abf769643beb4576be0ec06b40c3a39c": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", + "1407812065e84df28e3cbfce5bc26fc9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_d49c4bbd79764be6a367a529430bb21c", - "IPY_MODEL_66fda39ee94640f9bfbf95b277029f5f", - "IPY_MODEL_a91b988eba704f3d83b2427008360214" - ], - "layout": "IPY_MODEL_c6984f94ef2946f8bf97184bb3f6569c" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "abf877d764b148d1a539be05a5ffa61a": { + "a86aecff032345c5a3f176851052bcf0": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e6cd6cca3a3e4378b8c28cb2c201ce65", - "placeholder": "​", - "style": "IPY_MODEL_058a920f8b23400896363b9f799e5428", - "value": " 1.48k/1.48k [00:00<00:00, 105kB/s]" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } }, - "ac130598ebcc4ae2a426b62a011775e8": { + "cc8d776ab3b4482ba8a2cab6bce3f310": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7650,10 +8044,25 @@ "width": null } }, - "ac4aff19efa14bed8eddf6a154a58608": { + "5052e40d06ed4eefa2f6df4be951aa3d": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0c7cd9bca9994ee4abc817035db4f115": { + "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -7665,75 +8074,83 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_db2c32aae3a6489499986c9f3e5c38aa", - "IPY_MODEL_7bcc31d5fc7841108e802379b3cfa493", - "IPY_MODEL_ae64a24183d54f07a9a4ed4af89a6b07" + "IPY_MODEL_7f622c1b4fef4ebb8c290cfc164f3a95", + "IPY_MODEL_e05e528fd80548c1b7147d1756d980c9", + "IPY_MODEL_073e4cf5a7f944048d507076589bcf7e" ], - "layout": "IPY_MODEL_de58d3b4db0b4c8984066acb3a5125e6" + "layout": "IPY_MODEL_1794dcbd585747adb0530f76ec4d5be8" } }, - "ae22d8d7fd234586b71ebe5310a921ed": { + "7f622c1b4fef4ebb8c290cfc164f3a95": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_0ecd670fe54c4f6fa73a584505262c60", - "IPY_MODEL_c703b47443544e1fb65d9bde2a3e95b5", - "IPY_MODEL_8803985e095f45a9b0b66b4ab94883bb" - ], - "layout": "IPY_MODEL_f3d39586bdb04cf9b4332bae94322f45" + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_31f8708ee9444a82923272f09da1fe91", + "placeholder": "​", + "style": "IPY_MODEL_2fad7fdcdb574f75bf994a363f8c31c9", + "value": "Generating train_gen split: 100%" } }, - "ae64a24183d54f07a9a4ed4af89a6b07": { + "e05e528fd80548c1b7147d1756d980c9": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HTMLView", + "_view_name": "ProgressView", + "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_51d70c79c11e4df1aa637ae49e75c72f", - "placeholder": "​", - "style": "IPY_MODEL_09815bac90324b9a9f042997b25370a0", - "value": " 61966/61966 [00:02<00:00, 30061.46 examples/s]" + "layout": "IPY_MODEL_59086cae36714c9bb971cf48e9d3f78b", + "max": 61966, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0715885acccf4440aed4955f4aaff0f2", + "value": 61966 } }, - "aebf71c536714962827e11f17c6a6e16": { + "073e4cf5a7f944048d507076589bcf7e": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6adc4e60532f4558ade289ad526aa87d", + "placeholder": "​", + "style": "IPY_MODEL_25634e71ebbf4a41baf59a8cb8540bf3", + "value": " 61966/61966 [00:02<00:00, 32772.44 examples/s]" } }, - "b21acebd395c4a0dabb14f205cd08bda": { + "1794dcbd585747adb0530f76ec4d5be8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7782,25 +8199,10 @@ "width": null } }, - "b29322681da7490291118b138ebf28ba": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "b2a4a11ed4234ba7a241dff1b08305af": { + "31f8708ee9444a82923272f09da1fe91": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7849,73 +8251,25 @@ "width": null } }, - "b33adaf1c67840529d95e6dd5ad7208f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_c7db2011fb1747138b9ad321d70b890f", - "placeholder": "​", - "style": "IPY_MODEL_c63db7d7d51c41c7b6738e1db418a3a0", - "value": " 2000/2000 [00:00<00:00, 19793.18 examples/s]" - } - }, - "b5ed6177daa74fb5ab8e28a050d5fcfd": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_7af647b06e3c4ea69a3b239098fd64cf", - "placeholder": "​", - "style": "IPY_MODEL_4ce289d0f23449dab2dc5455cac6182e", - "value": "Map: 100%" - } - }, - "b7f58ec86d01413da208e76d1ffbd0fb": { + "2fad7fdcdb574f75bf994a363f8c31c9": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_c240c37be08645b98ba3443ab5d81d1a", - "placeholder": "​", - "style": "IPY_MODEL_ed6c9658c544462bbc2606040de273c0", - "value": "Generating test_gen split: 100%" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "ba337b31b13347b9be6e1a43fd0cd8aa": { + "59086cae36714c9bb971cf48e9d3f78b": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -7964,10 +8318,10 @@ "width": null } }, - "baed51e023c24d40b4d463894cc6a067": { + "0715885acccf4440aed4955f4aaff0f2": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -7980,59 +8334,14 @@ "description_width": "" } }, - "bbd8659eefb54a32b0c0d0a6b5bb1888": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", + "6adc4e60532f4558ade289ad526aa87d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_2b9a6556e59b4f5486074928693b0d70", - "max": 221598833, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_940c965958794b3498415def687b7d56", - "value": 221598833 - } - }, - "bbea9fee8c404f35b15d6b8f3c36c2b0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_a6d3136cc29d40f09ea868f2eea16e3f", - "placeholder": "​", - "style": "IPY_MODEL_c12a6a9fd8a9441f8b36501b08f4fdb5", - "value": " 309/309 [00:02<00:00, 274.86 examples/s]" - } - }, - "bda940f600d34640bb781db24841f944": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", @@ -8077,10 +8386,92 @@ "width": null } }, - "be2e5c91a80d426cbf88d3eab41a57ba": { + "25634e71ebbf4a41baf59a8cb8540bf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1d8bd9a5ec064157a2099a23621ccdad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_16ca05cd0a404e36b737bae31235fac6", + "IPY_MODEL_f4065d3723d649bfa930624fca67ddd9", + "IPY_MODEL_92a0e4161e0a4d7e88aaf764f4df92b7" + ], + "layout": "IPY_MODEL_6deaa7e61cf443e99dce5869e1281c0c" + } + }, + "16ca05cd0a404e36b737bae31235fac6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_05d95e4de7b84da282818e23c8c22345", + "placeholder": "​", + "style": "IPY_MODEL_04ac7654040b4002a1f359c4cd000cc5", + "value": "Generating test_gen split: 100%" + } + }, + "f4065d3723d649bfa930624fca67ddd9": { "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4fd685420f4e41edb9d9c97e6ac89585", + "max": 1000, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1a319e2196e3465989cbf69e736fbd3e", + "value": 1000 + } + }, + "92a0e4161e0a4d7e88aaf764f4df92b7": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -8092,16 +8483,16 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_3617457ccb2b4b359421691d4ed2297d", + "layout": "IPY_MODEL_a70c5ea79cba4f4bac16c1bebe5aa0b5", "placeholder": "​", - "style": "IPY_MODEL_6132e04a763449ed9e3710ede1763746", - "value": " 222M/222M [00:08<00:00, 27.1MB/s]" + "style": "IPY_MODEL_dd2a3af3a6144a9ba59fb130090c0283", + "value": " 1000/1000 [00:00<00:00, 17232.50 examples/s]" } }, - "bfda236c86ff4719bbd730e86f7048e4": { + "6deaa7e61cf443e99dce5869e1281c0c": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8150,10 +8541,10 @@ "width": null } }, - "c04fa685822d47b4968f14911b3f6ba4": { + "05d95e4de7b84da282818e23c8c22345": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8202,10 +8593,10 @@ "width": null } }, - "c12a6a9fd8a9441f8b36501b08f4fdb5": { + "04ac7654040b4002a1f359c4cd000cc5": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -8217,53 +8608,10 @@ "description_width": "" } }, - "c168e892023e4bfa9817bb3e1d0ebd26": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_21ae70b774094988b25768eb7a7db9c2", - "placeholder": "​", - "style": "IPY_MODEL_c2d60fb0bb2c4a39a91b259c8caf88d2", - "value": " 5.98k/5.98k [00:00<00:00, 418kB/s]" - } - }, - "c20e89c756a74c21b3a27c5f5e031639": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_877456268c7d435db6d60946f1516cf3", - "IPY_MODEL_bbd8659eefb54a32b0c0d0a6b5bb1888", - "IPY_MODEL_be2e5c91a80d426cbf88d3eab41a57ba" - ], - "layout": "IPY_MODEL_329b73fb10564959821b60dc593f1865" - } - }, - "c240c37be08645b98ba3443ab5d81d1a": { + "4fd685420f4e41edb9d9c97e6ac89585": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8312,25 +8660,26 @@ "width": null } }, - "c2d60fb0bb2c4a39a91b259c8caf88d2": { + "1a319e2196e3465989cbf69e736fbd3e": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "c41bb81611974c11aa5bc31d6e649c65": { + "a70c5ea79cba4f4bac16c1bebe5aa0b5": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8379,56 +8728,113 @@ "width": null } }, - "c478bfd3a39f4a9a80e2c956394f86a4": { + "dd2a3af3a6144a9ba59fb130090c0283": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "bar_color": null, "description_width": "" } }, - "c48be899ccea47bd97252fc8292d44ea": { + "baa1b968a1de4d029730f6a5a2301101": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4d080de8a7dc4809abafd654f1f62691", + "IPY_MODEL_16708105f96343c482ea0df18d42cbf3", + "IPY_MODEL_47fb8b7a47eb47179ccb0e2e1b313fbd" + ], + "layout": "IPY_MODEL_f9fb3e9d512944f295b81b249119d025" } }, - "c63db7d7d51c41c7b6738e1db418a3a0": { + "4d080de8a7dc4809abafd654f1f62691": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ee9b1c6c792143da997c0b563a95ffce", + "placeholder": "​", + "style": "IPY_MODEL_7bc84a52af5d4b1398b0ef212155e857", + "value": "Generating train_prefs split: 100%" + } + }, + "16708105f96343c482ea0df18d42cbf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4ad4cbf343684ded9a8fc5f8274a261c", + "max": 61966, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e5d62477070e475c93ededb4de412063", + "value": 61966 + } + }, + "47fb8b7a47eb47179ccb0e2e1b313fbd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9e26503e85234dda982f4a731dacabbf", + "placeholder": "​", + "style": "IPY_MODEL_c0e6950f66d84e5091051fbe173b2b3f", + "value": " 61966/61966 [00:02<00:00, 32103.21 examples/s]" } }, - "c64378457ce04fb8a4938a42721319d3": { + "f9fb3e9d512944f295b81b249119d025": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8464,439 +8870,23 @@ "max_width": null, "min_height": null, "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "c6984f94ef2946f8bf97184bb3f6569c": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "c6ccd287b7ef4aaabb25fe43d445fa85": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "c703b47443544e1fb65d9bde2a3e95b5": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_f4a731b502714d5e87f5a9e8a4c4a260", - "max": 2000, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_7230a076728248fc92bc9ef99ee7f9b4", - "value": 2000 - } - }, - "c7db2011fb1747138b9ad321d70b890f": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "ca30d3124745449191e711dadce629f3": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "ca5724ddc9ad4a529aab73c11ee9c878": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_1ee9c355b65e4c059ce870557f675e6c", - "IPY_MODEL_420dcbfb1c2846f48ace8a2b06db6aa6", - "IPY_MODEL_04ba536ded2e407e9d698df696d819d8" - ], - "layout": "IPY_MODEL_8c0207d0b50740b1b6d8e14e882ff013" - } - }, - "cac455d66c424233bfcd8aef411d1180": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_eb797a1a19db4e898634d18f19b2056d", - "max": 1795303, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_fab1a0ae36644433b756857d36dd52f2", - "value": 1795303 - } - }, - "cdf03b41c0f94373a99fe372a5f13dc3": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "ce84943f646b4e2c8ae37ec192e6c6d9": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "cfbbbeb2d66d4e80adb96bf3f8be2ff7": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_a049050103b24a3bb0ff201c87f42fc4", - "placeholder": "​", - "style": "IPY_MODEL_59ee90a791574570bd1c1327d54e30f1", - "value": " 309/309 [00:02<00:00, 98.61 examples/s]" - } - }, - "d00c194a20ac46d49fb48ba9e4d9d9b9": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_46e5ba6c322d4a668df5ea498dc29a86", - "IPY_MODEL_2de4a1ad087849b6baed62b7456ebcc0", - "IPY_MODEL_f85d5e88f5df4870936c5116faac36f4" - ], - "layout": "IPY_MODEL_71bb73910ab04ab0848f1fc867f67188" - } - }, - "d4337b226f6b413d9dc5cb5b62303b03": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "d49c4bbd79764be6a367a529430bb21c": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e8402dfc1a8b41429e8015d0569fd3d2", - "placeholder": "​", - "style": "IPY_MODEL_3d6b10bc206a4735b36e64d25ef8045e", - "value": "tokenizer.model: 100%" - } - }, - "d6bdd8d56daa4f7081c4c06f56b19b0e": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "d9527ff9d69f4268a2195524060a9dfa": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e627ac8f64b04b2493fec7a13c7b6eb6", - "placeholder": "​", - "style": "IPY_MODEL_77560ba252fa4bf5961e6c8dc99bf88f", - "value": "Downloading data: 100%" - } - }, - "da4e510666be477c841212f5017b47e0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_6283d5ae17b544e8b49de72af49c171f", - "placeholder": "​", - "style": "IPY_MODEL_78c999dc45a44436975ae35a6ba602fc", - "value": "config.json: 100%" - } - }, - "db2c32aae3a6489499986c9f3e5c38aa": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_1c22d65275114536b56032173a2b7930", - "placeholder": "​", - "style": "IPY_MODEL_4568f636fa474d50b9176afe278a3187", - "value": "Generating train_sft split: 100%" - } - }, - "db41489806bc426aa2259070d036e87f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_bda940f600d34640bb781db24841f944", - "max": 1482, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_4a5a796382234e00a701ac3dcb5009ef", - "value": 1482 + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "db82b1debf674087b8675cc44c40f83a": { + "ee9b1c6c792143da997c0b563a95ffce": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -8945,10 +8935,10 @@ "width": null } }, - "dc44909c43f24108ab45f2f8a88ecd06": { + "7bc84a52af5d4b1398b0ef212155e857": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -8960,10 +8950,10 @@ "description_width": "" } }, - "de083abd1c834a819c786d22d2ca8bd0": { + "4ad4cbf343684ded9a8fc5f8274a261c": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9012,10 +9002,26 @@ "width": null } }, - "de58d3b4db0b4c8984066acb3a5125e6": { + "e5d62477070e475c93ededb4de412063": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9e26503e85234dda982f4a731dacabbf": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9064,10 +9070,113 @@ "width": null } }, - "e0357e4c7836402fa578d5cb22fedb62": { + "c0e6950f66d84e5091051fbe173b2b3f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b6c12557e5814d4db2ca39372d44a167": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_59d72ddb22ee4efeb86af48c83dd8110", + "IPY_MODEL_ae4e761cd74642788667953acf5fd0aa", + "IPY_MODEL_40904407149e4ceea2f3bdf769aba0d1" + ], + "layout": "IPY_MODEL_da08e39e0cbd43b68dd1058954a3d93f" + } + }, + "59d72ddb22ee4efeb86af48c83dd8110": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f1b1def618354651b0c7662b055d7cb2", + "placeholder": "​", + "style": "IPY_MODEL_02672649160d44c3a21f0dbb4f1142c2", + "value": "Generating test_prefs split: 100%" + } + }, + "ae4e761cd74642788667953acf5fd0aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c19e821b4a7f458085202f1d2bd148dc", + "max": 2000, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_86215ff3b19748859771c04a654a92a6", + "value": 2000 + } + }, + "40904407149e4ceea2f3bdf769aba0d1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_853df198b21147f390d68af8043610b1", + "placeholder": "​", + "style": "IPY_MODEL_86af0415540c41658b4f125e3f372c52", + "value": " 2000/2000 [00:00<00:00, 21572.25 examples/s]" + } + }, + "da08e39e0cbd43b68dd1058954a3d93f": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9116,48 +9225,10 @@ "width": null } }, - "e29361925b634f968acb57d488fc849d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_86b2a0cba0f1497897d0cc8a4279cbfb", - "IPY_MODEL_cac455d66c424233bfcd8aef411d1180", - "IPY_MODEL_fb6a3fcef0e84843bc33bc9b929afbf1" - ], - "layout": "IPY_MODEL_66859785d81d455e91032048226a01d4" - } - }, - "e2c7f0b1f20b4bda8269dcd30edcf4ac": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "e2f2ff4f89664ac4b52609e7ea90f3fd": { + "f1b1def618354651b0c7662b055d7cb2": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9206,10 +9277,25 @@ "width": null } }, - "e33403356d724022a5e7ffca38b41561": { + "02672649160d44c3a21f0dbb4f1142c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c19e821b4a7f458085202f1d2bd148dc": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9258,25 +9344,26 @@ "width": null } }, - "e3c1e82cbb8c4eafbb1e7316d5680305": { + "86215ff3b19748859771c04a654a92a6": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "e4946c0eae6d4d59bff102f785da0fb5": { + "853df198b21147f390d68af8043610b1": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9325,10 +9412,113 @@ "width": null } }, - "e627ac8f64b04b2493fec7a13c7b6eb6": { + "86af0415540c41658b4f125e3f372c52": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e6ed1837c16b47d3913f123a7c09d833": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f9af1d0e95b846e7923b0fbf48df969d", + "IPY_MODEL_7c58d359b4934b8c8b99b9aa13abb661", + "IPY_MODEL_d22351f5e6844faca41027ee44ead93e" + ], + "layout": "IPY_MODEL_162e0a2a77b743868d3e6c53f2220b14" + } + }, + "f9af1d0e95b846e7923b0fbf48df969d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_22f984300d814049bb2cfa3c68c6461a", + "placeholder": "​", + "style": "IPY_MODEL_1dc30290e4c4478695246cef4b785563", + "value": "Formatting comparisons with prompt template (num_proc=12): 100%" + } + }, + "7c58d359b4934b8c8b99b9aa13abb661": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_da199afde5ed47cdad0801ce45cf34a7", + "max": 309, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_76cc2729929048d0a9ea919735fea53e", + "value": 309 + } + }, + "d22351f5e6844faca41027ee44ead93e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2ab8ed5174004d60ba0ecfc7505e3c54", + "placeholder": "​", + "style": "IPY_MODEL_061f919ac1c74f078b5c909ff889e894", + "value": " 309/309 [00:02<00:00, 189.14 examples/s]" + } + }, + "162e0a2a77b743868d3e6c53f2220b14": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9377,10 +9567,10 @@ "width": null } }, - "e6cd6cca3a3e4378b8c28cb2c201ce65": { + "22f984300d814049bb2cfa3c68c6461a": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9429,10 +9619,10 @@ "width": null } }, - "e7807fad01994997bdf00d4ee3ccdfa8": { + "1dc30290e4c4478695246cef4b785563": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -9444,10 +9634,10 @@ "description_width": "" } }, - "e8402dfc1a8b41429e8015d0569fd3d2": { + "da199afde5ed47cdad0801ce45cf34a7": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9496,77 +9686,26 @@ "width": null } }, - "e874eb7fb86d43a5b77a5dfacfa9d8a0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_da4e510666be477c841212f5017b47e0", - "IPY_MODEL_25a23224fd504c48bc4a20c6b47acb10", - "IPY_MODEL_8cf44fb3cbb745bea86d61189c5665a0" - ], - "layout": "IPY_MODEL_08eeb449819d47409de21b90da03c70d" - } - }, - "e92a58712f504c389f4aac8c2cdf88bf": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_bfda236c86ff4719bbd730e86f7048e4", - "placeholder": "​", - "style": "IPY_MODEL_ce84943f646b4e2c8ae37ec192e6c6d9", - "value": "Generating train_prefs split: 100%" - } - }, - "eb05aaa23a7648709a5b2f346bd57a65": { + "76cc2729929048d0a9ea919735fea53e": { "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_ef5e85eea25f4e0a937703f6b66d2e8c", - "max": 1000, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_fd0138e5fe974d4eb9d49e5fa4016afb", - "value": 1000 + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } }, - "eb797a1a19db4e898634d18f19b2056d": { + "2ab8ed5174004d60ba0ecfc7505e3c54": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9615,10 +9754,10 @@ "width": null } }, - "ebb8f01d7e834380ada8008f296207c3": { + "061f919ac1c74f078b5c909ff889e894": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -9630,100 +9769,98 @@ "description_width": "" } }, - "ec2ab7b05c014f3bac6b15c12bde34d8": { + "e63c3a8c021b4d30b0c93b99a7dba155": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_45cc7c0a9c664353ba11a5049c0353b6", + "IPY_MODEL_514e5d566f734683bec2319b987c16dd", + "IPY_MODEL_21687939a40a491395c37bec223c37fa" + ], + "layout": "IPY_MODEL_440101772f084da5b3e5724fb28c52d1" } }, - "ecec31f77eab469aa61ead705557cdcb": { + "45cc7c0a9c664353ba11a5049c0353b6": { "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", "model_module_version": "1.5.0", - "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_ee4c1dcd246c4818bf60bc6164bfaf3f", - "IPY_MODEL_db41489806bc426aa2259070d036e87f", - "IPY_MODEL_abf877d764b148d1a539be05a5ffa61a" - ], - "layout": "IPY_MODEL_79fbf74966144b89b58c53329cf9bc55" + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_32f7c34cd24c4d83976c96ee0cdc05cf", + "placeholder": "​", + "style": "IPY_MODEL_57e3acfbf42c41d2b2a3774247e046b6", + "value": "Formatting comparisons with prompt template (num_proc=12): 100%" } }, - "ed109379d3aa40c0ac671100fa431f50": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", + "514e5d566f734683bec2319b987c16dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bd508aa803f94073af7a91332e738668", + "max": 2000, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ddd131d700884af596f2b77c921f48c5", + "value": 2000 + } + }, + "21687939a40a491395c37bec223c37fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8c785cb20818402a829e54ff3467e03f", + "placeholder": "​", + "style": "IPY_MODEL_3d17ac67bb8a4fc9b4709f89de589fcd", + "value": " 2000/2000 [00:03<00:00, 1125.54 examples/s]" } }, - "ed1bcf79e7f84a499f41b36cbe4f3a69": { + "440101772f084da5b3e5724fb28c52d1": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9772,63 +9909,10 @@ "width": null } }, - "ed6c9658c544462bbc2606040de273c0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "ed93bfd395cd455bbf18b5eedd3a54c1": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "edca49569f0b45a3bda8327171d93d5d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_51f18d9993214dbea5c99b42cbd816bd", - "IPY_MODEL_fb834046447043518bbe944173f104de", - "IPY_MODEL_a536ba8737f7444d8ddef16ee2f56698" - ], - "layout": "IPY_MODEL_ff90b7c5478d40c6a36d6021ab0c5708" - } - }, - "ee0cab232f21483791b3092420cc7eeb": { + "32f7c34cd24c4d83976c96ee0cdc05cf": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9874,56 +9958,28 @@ "right": null, "top": null, "visibility": null, - "width": null - } - }, - "ee3bf2f2a06749fe80eeca6a843231be": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_b7f58ec86d01413da208e76d1ffbd0fb", - "IPY_MODEL_eb05aaa23a7648709a5b2f346bd57a65", - "IPY_MODEL_6a0b0edabcbb454eadba52b2dc2064fd" - ], - "layout": "IPY_MODEL_05e9c12c3f674e3c82fdac439ee28281" + "width": null } }, - "ee4c1dcd246c4818bf60bc6164bfaf3f": { + "57e3acfbf42c41d2b2a3774247e046b6": { "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", - "model_name": "HTMLModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_a2f1f703a0994bbe949948de631e8f9e", - "placeholder": "​", - "style": "IPY_MODEL_aebf71c536714962827e11f17c6a6e16", - "value": "tokenizer_config.json: 100%" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "ef5e85eea25f4e0a937703f6b66d2e8c": { + "bd508aa803f94073af7a91332e738668": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -9972,34 +10028,10 @@ "width": null } }, - "f17574eef38b4fdea6fed40892cd6005": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_470b235834304ff785ba0c2732fa20e5", - "max": 61966, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_984f0e2432a8496cb5105a1ffcb69fbd", - "value": 61966 - } - }, - "f26bf44381394b4596dacca76b168626": { + "ddd131d700884af596f2b77c921f48c5": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -10012,32 +10044,10 @@ "description_width": "" } }, - "f29440fa274c43809ce9b008f8a61ed9": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_b5ed6177daa74fb5ab8e28a050d5fcfd", - "IPY_MODEL_2c44b6297394458f8c56ee66e97cbd56", - "IPY_MODEL_cfbbbeb2d66d4e80adb96bf3f8be2ff7" - ], - "layout": "IPY_MODEL_64d0811807b74a9c99d09390612287de" - } - }, - "f374fa0c19554feba8ed2c5c62597895": { + "8c785cb20818402a829e54ff3467e03f": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -10086,10 +10096,47 @@ "width": null } }, - "f3b6a130e10e416ea8b95b80c264028d": { + "3d17ac67bb8a4fc9b4709f89de589fcd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1410214ec6fd4e19a200b5e03464ceee": { "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_0ba04e31d310422f9efaef634afb1296", + "IPY_MODEL_6ac7582965d341c383c806ae3a8b513a", + "IPY_MODEL_971371cfb1bd447e94f9f2e38f9f50c8" + ], + "layout": "IPY_MODEL_3d4dbe5814d24b7dae1a7462a33e7f40" + } + }, + "0ba04e31d310422f9efaef634afb1296": { + "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", + "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", @@ -10101,16 +10148,61 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_0b48053354ed49788897a6fff135cef6", + "layout": "IPY_MODEL_6b4743fee43b40638d8f2df36fa9fed9", "placeholder": "​", - "style": "IPY_MODEL_ebb8f01d7e834380ada8008f296207c3", - "value": "generation_config.json: 100%" + "style": "IPY_MODEL_77f706dc09eb43d7aa4522f8a0b36142", + "value": "Map: 100%" + } + }, + "6ac7582965d341c383c806ae3a8b513a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_175c7bb9e8c94b8daa3287dd773b6837", + "max": 309, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a10418a202e14a96893e24267bc194c9", + "value": 309 + } + }, + "971371cfb1bd447e94f9f2e38f9f50c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8138d9f175df4a28b2e58e9c852cabb8", + "placeholder": "​", + "style": "IPY_MODEL_43b39a8abcb94847bc21ec16fa373ed9", + "value": " 309/309 [00:01<00:00, 225.45 examples/s]" } }, - "f3d39586bdb04cf9b4332bae94322f45": { + "3d4dbe5814d24b7dae1a7462a33e7f40": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -10159,10 +10251,10 @@ "width": null } }, - "f4a731b502714d5e87f5a9e8a4c4a260": { + "6b4743fee43b40638d8f2df36fa9fed9": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -10211,10 +10303,25 @@ "width": null } }, - "f79ec936179a43f9986e60a7c8d0465f": { + "77f706dc09eb43d7aa4522f8a0b36142": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "175c7bb9e8c94b8daa3287dd773b6837": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -10263,113 +10370,10 @@ "width": null } }, - "f85d5e88f5df4870936c5116faac36f4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_0cf684e01fd241b4a5bc419455e89c28", - "placeholder": "​", - "style": "IPY_MODEL_dc44909c43f24108ab45f2f8a88ecd06", - "value": " 7.12M/7.12M [00:00<00:00, 12.9MB/s]" - } - }, - "fab1a0ae36644433b756857d36dd52f2": { + "a10418a202e14a96893e24267bc194c9": { "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "fb6a3fcef0e84843bc33bc9b929afbf1": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_928e0ff3f174436b817262603cc78b77", - "placeholder": "​", - "style": "IPY_MODEL_7234655b163a4c3c80c28388a1f072fa", - "value": " 1.80M/1.80M [00:01<00:00, 1.52MB/s]" - } - }, - "fb834046447043518bbe944173f104de": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e2f2ff4f89664ac4b52609e7ea90f3fd", - "max": 221598833, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_2232df7258c940efa25a0f789dc1721e", - "value": 221598833 - } - }, - "fba6a9e064494e67876e514f9a69e143": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_e4946c0eae6d4d59bff102f785da0fb5", - "placeholder": "​", - "style": "IPY_MODEL_d4337b226f6b413d9dc5cb5b62303b03", - "value": "Generating test_prefs split: 100%" - } - }, - "fd0138e5fe974d4eb9d49e5fa4016afb": { - "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", @@ -10382,10 +10386,10 @@ "description_width": "" } }, - "ff90b7c5478d40c6a36d6021ab0c5708": { + "8138d9f175df4a28b2e58e9c852cabb8": { "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", "model_name": "LayoutModel", + "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", @@ -10433,6 +10437,21 @@ "visibility": null, "width": null } + }, + "43b39a8abcb94847bc21ec16fa373ed9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } } } }