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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "t5s.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "J5FugqkVrf-P",
"outputId": "4082375a-33c4-448f-a618-613224ae02f8"
},
"source": [
"!pip install t5s --upgrade"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
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" Created wheel for databricks-cli: filename=databricks_cli-0.15.0-py3-none-any.whl size=105259 sha256=f26ac8fd22b7d26afc1f2a651bc303248bb4b3288f26424079d090f0bc8dbad3\n",
" Stored in directory: /root/.cache/pip/wheels/e7/ba/75/284f9a90ff7a010bb23b9798f2e9a19dd9fe619379c917bff4\n",
" Building wheel for dpath (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for dpath: filename=dpath-2.0.1-py3-none-any.whl size=15153 sha256=6c0c0fd902c652f5e2f8bcc660c925d6563bfe31a034fe28fbce1f3673c53047\n",
" Stored in directory: /root/.cache/pip/wheels/bc/f8/ae/bc69cb5f61393ebf9ade4cde41d1a813d35bfe78263a26f99e\n",
" Building wheel for flufl.lock (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for flufl.lock: filename=flufl.lock-3.2-py3-none-any.whl size=19927 sha256=12059ea8c31a7c3012fa9fac08321da0dd2e161993875d5349098bdf10f21321\n",
" Stored in directory: /root/.cache/pip/wheels/49/68/a0/8e7cb7bbf4990fc10b5a082aa0eb3ac66787ca11e8eca445b2\n",
" Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=3065296c65b1cd133bd427cb975a4598ac22080f752dc05191f2cac7589d5f21\n",
" Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
" Building wheel for nanotime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for nanotime: filename=nanotime-0.5.2-py3-none-any.whl size=2440 sha256=fd0ec6cd1d5a377a38b2d8420249ee5a2a40d3c3ac9027a63df96eccb65d33a9\n",
" Stored in directory: /root/.cache/pip/wheels/b8/92/aa/456d462c908b4e210c3928f778d28f94049fc9e47af8b191c9\n",
" Building wheel for pygtrie (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for pygtrie: filename=pygtrie-2.4.2-py3-none-any.whl size=19061 sha256=1f0abccd08f95a448d171de8251128d943c397f23889049a377f1259757b5f4f\n",
" Stored in directory: /root/.cache/pip/wheels/d3/f8/ba/1d828b1603ea422686eb694253a43cb3a5901ea4696c1e0603\n",
" Building wheel for atpublic (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for atpublic: filename=atpublic-2.3-py3-none-any.whl size=5032 sha256=7da4354afc862c36dee40560733e41cad62646a6b3361fbe79d8722ae56620ce\n",
" Stored in directory: /root/.cache/pip/wheels/46/d9/0f/54be2ecb4bcb1612f987f0b6482d88fa7f3e43d3946f36a32a\n",
" Building wheel for blinker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for blinker: filename=blinker-1.4-py3-none-any.whl size=13479 sha256=f6807d6fec7557bd3b537d3dc4ac317ff9e119f8548cf6c9b832761a664106c0\n",
" Stored in directory: /root/.cache/pip/wheels/22/f5/18/df711b66eb25b21325c132757d4314db9ac5e8dabeaf196eab\n",
" Building wheel for ftfy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for ftfy: filename=ftfy-6.0.3-py3-none-any.whl size=41934 sha256=140f2cf4ce8ed83edf9537a463a9b230bbf147b4ab5bc269e95f146e6ec59d2e\n",
" Stored in directory: /root/.cache/pip/wheels/19/f5/38/273eb3b5e76dfd850619312f693716ac4518b498f5ffb6f56d\n",
" Building wheel for mailchecker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for mailchecker: filename=mailchecker-4.0.11-py3-none-any.whl size=201671 sha256=b50a4a12a341a53472ddc32efd54228a6741dc41a2ccfb865737841e0382c0c1\n",
" Stored in directory: /root/.cache/pip/wheels/0b/cd/39/230bf7caff55afc08eb4a1d433731706d76fde0b95d70df3ca\n",
" Building wheel for prometheus-flask-exporter (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for prometheus-flask-exporter: filename=prometheus_flask_exporter-0.18.2-py3-none-any.whl size=17416 sha256=9e08ca8dfee8cbea10b2e4d0ccc948d085aeda03278bd2ad97239a28092ce8e6\n",
" Stored in directory: /root/.cache/pip/wheels/6a/1e/1c/c765920cb92b2f0343d2dd8b481a407cee2823f9b4bbd2e52a\n",
"Successfully built alembic configobj databricks-cli dpath flufl.lock future nanotime pygtrie atpublic blinker ftfy mailchecker prometheus-flask-exporter\n",
"Installing collected packages: prompt-toolkit, ipython, importlib-metadata, urllib3, ipykernel, multidict, yarl, smmap, numpy, jmespath, async-timeout, xmltodict, websocket-client, tqdm, ruamel.yaml.clib, regex, pyyaml, python-fsutil, python-editor, ply, phonenumbers, Mako, mailchecker, gitdb, future, ftfy, fsspec, commonmark, colorama, botocore, atpublic, aiohttp, zc.lockfile, xxhash, watchdog, voluptuous, validators, typed-ast, torchmetrics, tomli, tokenizers, tensorboard, shtab, shortuuid, sacremoses, s3transfer, ruamel.yaml, rich, querystring-parser, python-benedict, pygtrie, pygit2, pyflakes, pyDeprecate, pydeck, pycodestyle, psutil, prometheus-flask-exporter, pathspec, nanotime, mypy-extensions, mccabe, jsonpath-ng, huggingface-hub, gunicorn, grandalf, gitpython, funcy, flufl.lock, flatten-dict, dulwich, dpath, docutils, docker, distro, diskcache, dictdiffer, databricks-cli, configobj, blinker, base58, alembic, transformers, streamlit, rouge-score, pytorch-lightning, python-dotenv, mlflow, flake8, dvc, datasets, dagshub, black, awscli, t5s\n",
" Attempting uninstall: prompt-toolkit\n",
" Found existing installation: prompt-toolkit 1.0.18\n",
" Uninstalling prompt-toolkit-1.0.18:\n",
" Successfully uninstalled prompt-toolkit-1.0.18\n",
" Attempting uninstall: ipython\n",
" Found existing installation: ipython 5.5.0\n",
" Uninstalling ipython-5.5.0:\n",
" Successfully uninstalled ipython-5.5.0\n",
" Attempting uninstall: importlib-metadata\n",
" Found existing installation: importlib-metadata 4.6.1\n",
" Uninstalling importlib-metadata-4.6.1:\n",
" Successfully uninstalled importlib-metadata-4.6.1\n",
" Attempting uninstall: urllib3\n",
" Found existing installation: urllib3 1.24.3\n",
" Uninstalling urllib3-1.24.3:\n",
" Successfully uninstalled urllib3-1.24.3\n",
" Attempting uninstall: ipykernel\n",
" Found existing installation: ipykernel 4.10.1\n",
" Uninstalling ipykernel-4.10.1:\n",
" Successfully uninstalled ipykernel-4.10.1\n",
" Attempting uninstall: numpy\n",
" Found existing installation: numpy 1.19.5\n",
" Uninstalling numpy-1.19.5:\n",
" Successfully uninstalled numpy-1.19.5\n",
" Attempting uninstall: tqdm\n",
" Found existing installation: tqdm 4.41.1\n",
" Uninstalling tqdm-4.41.1:\n",
" Successfully uninstalled tqdm-4.41.1\n",
" Attempting uninstall: regex\n",
" Found existing installation: regex 2019.12.20\n",
" Uninstalling regex-2019.12.20:\n",
" Successfully uninstalled regex-2019.12.20\n",
" Attempting uninstall: pyyaml\n",
" Found existing installation: PyYAML 3.13\n",
" Uninstalling PyYAML-3.13:\n",
" Successfully uninstalled PyYAML-3.13\n",
" Attempting uninstall: future\n",
" Found existing installation: future 0.16.0\n",
" Uninstalling future-0.16.0:\n",
" Successfully uninstalled future-0.16.0\n",
" Attempting uninstall: tensorboard\n",
" Found existing installation: tensorboard 2.5.0\n",
" Uninstalling tensorboard-2.5.0:\n",
" Successfully uninstalled tensorboard-2.5.0\n",
" Attempting uninstall: psutil\n",
" Found existing installation: psutil 5.4.8\n",
" Uninstalling psutil-5.4.8:\n",
" Successfully uninstalled psutil-5.4.8\n",
" Attempting uninstall: docutils\n",
" Found existing installation: docutils 0.17.1\n",
" Uninstalling docutils-0.17.1:\n",
" Successfully uninstalled docutils-0.17.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"jupyter-console 5.2.0 requires prompt-toolkit<2.0.0,>=1.0.0, but you have prompt-toolkit 3.0.19 which is incompatible.\n",
"google-colab 1.0.0 requires ipykernel~=4.10, but you have ipykernel 6.0.3 which is incompatible.\n",
"google-colab 1.0.0 requires ipython~=5.5.0, but you have ipython 7.26.0 which is incompatible.\n",
"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n",
"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
"Successfully installed Mako-1.1.4 aiohttp-3.7.4.post0 alembic-1.4.1 async-timeout-3.0.1 atpublic-2.3 awscli-1.20.18 base58-2.1.0 black-21.7b0 blinker-1.4 botocore-1.21.18 colorama-0.4.3 commonmark-0.9.1 configobj-5.0.6 dagshub-0.1.7 databricks-cli-0.15.0 datasets-1.10.2 dictdiffer-0.9.0 diskcache-5.2.1 distro-1.6.0 docker-5.0.0 docutils-0.15.2 dpath-2.0.1 dulwich-0.20.24 dvc-2.5.4 flake8-3.9.2 flatten-dict-0.4.2 flufl.lock-3.2 fsspec-2021.7.0 ftfy-6.0.3 funcy-1.16 future-0.18.2 gitdb-4.0.7 gitpython-3.1.18 grandalf-0.6 gunicorn-20.1.0 huggingface-hub-0.0.12 importlib-metadata-3.10.1 ipykernel-6.0.3 ipython-7.26.0 jmespath-0.10.0 jsonpath-ng-1.5.3 mailchecker-4.0.11 mccabe-0.6.1 mlflow-1.19.0 multidict-5.1.0 mypy-extensions-0.4.3 nanotime-0.5.2 numpy-1.19.2 pathspec-0.9.0 phonenumbers-8.12.29 ply-3.11 prometheus-flask-exporter-0.18.2 prompt-toolkit-3.0.19 psutil-5.8.0 pyDeprecate-0.3.0 pycodestyle-2.7.0 pydeck-0.6.2 pyflakes-2.3.1 pygit2-1.6.1 pygtrie-2.4.2 python-benedict-0.24.1 python-dotenv-0.19.0 python-editor-1.0.4 python-fsutil-0.5.0 pytorch-lightning-1.3.5 pyyaml-5.4.1 querystring-parser-1.2.4 regex-2021.8.3 rich-10.7.0 rouge-score-0.0.4 ruamel.yaml-0.17.10 ruamel.yaml.clib-0.2.6 s3transfer-0.5.0 sacremoses-0.0.45 shortuuid-1.0.1 shtab-1.3.10 smmap-4.0.0 streamlit-0.85.1 t5s-1.0.4 tensorboard-2.6.0 tokenizers-0.10.3 tomli-1.2.1 torchmetrics-0.5.0 tqdm-4.62.0 transformers-4.9.0 typed-ast-1.4.3 urllib3-1.25.11 validators-0.18.2 voluptuous-0.12.1 watchdog-2.1.3 websocket-client-1.1.1 xmltodict-0.12.0 xxhash-2.0.2 yarl-1.6.3 zc.lockfile-2.0\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"pip_warning": {
"packages": [
"IPython",
"ipykernel",
"numpy",
"prompt_toolkit",
"psutil"
]
}
}
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "5Fe-bL2RrmMf",
"outputId": "d33d3c82-5633-4abe-d2b4-8e4d9da0d4e7"
},
"source": [
"!t5s clone"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"arguments passed: clone\n",
"Cloning into 'summarization'...\n",
"remote: Enumerating objects: 958, done.\u001b[K\n",
"remote: Counting objects: 100% (958/958), done.\u001b[K\n",
"remote: Compressing objects: 100% (876/876), done.\u001b[K\n",
"remote: Total 958 (delta 552), reused 109 (delta 63)\u001b[K\n",
"Receiving objects: 100% (958/958), 129.99 KiB | 978.00 KiB/s, done.\n",
"Resolving deltas: 100% (552/552), done.\n",
"/content/summarization\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xIhaMYwhyEuv",
"outputId": "1ef86679-35eb-43ba-b545-df9bf9a9e4bb"
},
"source": [
"!t5s dirs"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"arguments passed: dirs\n",
"/content/summarization\n",
"mkdir -p data/raw data/processed models\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hZqB-NlGzTC-",
"outputId": "3de5740c-2b4b-4119-ed9f-35da00236cce"
},
"source": [
"!t5s run"
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"arguments passed: run\n",
"/content/summarization\n",
"dvc repro eval\n",
"Running stage 'download_data':\n",
"> python src/data/make_dataset.py\n",
"{'data': 'cnn_dailymail', 'split': 0.001}\n",
"Downloading: 9.35kB [00:00, 8.50MB/s] \n",
"Downloading: 9.50kB [00:00, 8.98MB/s] \n",
"Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown size, total: 1.82 GiB) to /root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234...\n",
"Downloading: 159MB [00:05, 29.9MB/s]\n",
"Downloading: 376MB [00:12, 30.6MB/s]\n",
"Downloading: 2.11MB [00:00, 54.2MB/s] \n",
"Downloading: 46.4MB [00:00, 72.6MB/s]\n",
"Downloading: 2.43MB [00:00, 60.6MB/s] \n",
"Dataset cnn_dailymail downloaded and prepared to /root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234. Subsequent calls will reuse this data.\n",
"Reusing dataset cnn_dailymail (/root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\n",
"Reusing dataset cnn_dailymail (/root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\n",
"Computing md5 for a large file 'data/raw/train.csv'. This is only done once.\n",
"Computing file/dir hashes (only done once) |1.00 [00:00, 7.98md5/s]\n",
"data/raw/train.csv: 0% 0.00/1.17G [00:00<?, ?B/s]\u001b[A\n",
"data/raw/train.csv: 0% 0.00/1.17G [00:00<?, ?B/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 3% 39.0M/1.17G [00:00<00:03, 402MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 6% 75.0M/1.17G [00:00<00:03, 386MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 10% 115M/1.17G [00:00<00:02, 399MB/s{'info': ''}] \u001b[A\n",
"data/raw/train.csv: 13% 154M/1.17G [00:00<00:02, 401MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 16% 193M/1.17G [00:00<00:02, 403MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 20% 233M/1.17G [00:00<00:02, 407MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 23% 273M/1.17G [00:00<00:02, 411MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 26% 312M/1.17G [00:00<00:02, 408MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 29% 350M/1.17G [00:00<00:02, 405MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 33% 389M/1.17G [00:01<00:02, 403MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 36% 429M/1.17G [00:01<00:01, 407MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 39% 469M/1.17G [00:01<00:01, 409MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 43% 509M/1.17G [00:01<00:01, 410MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 46% 549M/1.17G [00:01<00:01, 411MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 49% 589M/1.17G [00:01<00:01, 411MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 53% 628M/1.17G [00:01<00:01, 410MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 56% 668M/1.17G [00:01<00:01, 411MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 59% 709M/1.17G [00:01<00:01, 414MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 63% 750M/1.17G [00:01<00:01, 417MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 66% 790M/1.17G [00:02<00:01, 417MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 70% 830M/1.17G [00:02<00:00, 417MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 73% 871M/1.17G [00:02<00:00, 420MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 76% 912M/1.17G [00:02<00:00, 420MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 80% 952M/1.17G [00:02<00:00, 418MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 83% 992M/1.17G [00:02<00:00, 417MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 86% 1.01G/1.17G [00:02<00:00, 412MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 90% 1.05G/1.17G [00:02<00:00, 412MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 93% 1.08G/1.17G [00:02<00:00, 414MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 96% 1.12G/1.17G [00:02<00:00, 413MB/s{'info': ''}]\u001b[A\n",
"data/raw/train.csv: 100% 1.16G/1.17G [00:03<00:00, 415MB/s{'info': ''}]\u001b[A\n",
"\n",
"Running stage 'process_data':\n",
"> python src/data/process_data.py\n",
"tcmalloc: large alloc 1073741824 bytes == 0x55d3719fa000 @ 0x7fb648ace2a4 0x7fb636a549f5 0x7fb636a55d42 0x7fb636a5745e 0x7fb636a29068 0x7fb636a28510 0x7fb636a23f4e 0x7fb636a08fe4 0x55d32f1ce010 0x55d32f2bfc0d 0x55d32f2420d8 0x55d32f23d235 0x55d32f1cf73a 0x55d32f23dd67 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f23dd67 0x55d32f1cf65a 0x55d32f23db0e 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f241f40 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f23e93b 0x55d32f23cc35 0x55d32f23c933 0x55d32f306402 0x55d32f30677d 0x55d32f306626 0x55d32f2de313\n",
"tcmalloc: large alloc 2147483648 bytes == 0x55d3b19fa000 @ 0x7fb648ace2a4 0x7fb636a549f5 0x7fb636a55d42 0x7fb636a5745e 0x7fb636a29068 0x7fb636a28510 0x7fb636a23f4e 0x7fb636a08fe4 0x55d32f1ce010 0x55d32f2bfc0d 0x55d32f2420d8 0x55d32f23d235 0x55d32f1cf73a 0x55d32f23dd67 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f23dd67 0x55d32f1cf65a 0x55d32f23db0e 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f241f40 0x55d32f23cc35 0x55d32f1cf73a 0x55d32f23e93b 0x55d32f23cc35 0x55d32f23c933 0x55d32f306402 0x55d32f30677d 0x55d32f306626 0x55d32f2de313\n",
"Updating lock file 'dvc.lock'\n",
"\n",
"Running stage 'train':\n",
"> python src/models/train_model.py\n",
"2021-08-11 01:27:12.108655: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
"Global seed set to 42\n",
"Downloading: 100% 792k/792k [00:00<00:00, 3.83MB/s]\n",
"Downloading: 100% 1.39M/1.39M [00:00<00:00, 5.04MB/s]\n",
"Downloading: 100% 1.20k/1.20k [00:00<00:00, 977kB/s]\n",
"Downloading: 100% 242M/242M [00:07<00:00, 31.2MB/s]\n",
"GPU available: False, used: False\n",
"TPU available: False, using: 0 TPU cores\n",
"\n",
" | Name | Type | Params\n",
"-----------------------------------------------------\n",
"0 | model | T5ForConditionalGeneration | 60.5 M\n",
"-----------------------------------------------------\n",
"60.5 M Trainable params\n",
"0 Non-trainable params\n",
"60.5 M Total params\n",
"242.026 Total estimated model params size (MB)\n",
"Global seed set to 42\n",
"Epoch 0: 100% 2/2 [00:04<00:00, 2.39s/it]\n",
"Validating: 0it [00:00, ?it/s]\u001b[A\n",
"Validating: 0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
"Epoch 0: 100% 2/2 [00:06<00:00, 3.09s/it, loss=3.06, val_loss=2.620, train_loss=3.060]\n",
"Epoch 1: 100% 2/2 [00:05<00:00, 2.56s/it, loss=3.06, val_loss=2.620, train_loss=3.060]\n",
"Validating: 0it [00:00, ?it/s]\u001b[A\n",
"Validating: 0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
"Epoch 1: 100% 2/2 [00:06<00:00, 3.31s/it, loss=3.08, val_loss=2.610, train_loss=3.110]\n",
"Epoch 2: 100% 2/2 [00:05<00:00, 2.72s/it, loss=3.08, val_loss=2.610, train_loss=3.110]\n",
"Validating: 0it [00:00, ?it/s]\u001b[A\n",
"Validating: 0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
"Epoch 2: 100% 2/2 [00:06<00:00, 3.43s/it, loss=3.15, val_loss=2.610, train_loss=3.290]\n",
"Epoch 3: 100% 2/2 [00:05<00:00, 2.64s/it, loss=3.15, val_loss=2.610, train_loss=3.290]\n",
"Validating: 0it [00:00, ?it/s]\u001b[A\n",
"Validating: 0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
"Epoch 3: 100% 2/2 [00:06<00:00, 3.40s/it, loss=3.07, val_loss=2.610, train_loss=2.830]\n",
"Epoch 4: 100% 2/2 [00:05<00:00, 2.72s/it, loss=3.07, val_loss=2.610, train_loss=2.830]\n",
"Validating: 0it [00:00, ?it/s]\u001b[A\n",
"Validating: 0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
"Epoch 4: 100% 2/2 [00:06<00:00, 3.49s/it, loss=3.06, val_loss=2.610, train_loss=3.000]\n",
"Epoch 4: 100% 2/2 [00:19<00:00, 9.72s/it, loss=3.06, val_loss=2.610, train_loss=3.000]\n",
"Updating lock file 'dvc.lock'\n",
"\n",
"Running stage 'eval':\n",
"> python src/models/evaluate_model.py\n",
"2021-08-11 01:28:58.833599: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
"Global seed set to 42\n",
"Downloading: 5.61kB [00:00, 6.51MB/s] \n",
" 0% 0/11 [00:00<?, ?it/s]/usr/local/lib/python3.7/dist-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
"To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
" return torch.floor_divide(self, other)\n",
" 9% 1/11 [00:02<00:23, 2.35s/it]Token indices sequence length is longer than the specified maximum sequence length for this model (646 > 512). Running this sequence through the model will result in indexing errors\n",
"100% 11/11 [00:42<00:00, 3.85s/it]\n",
"Updating lock file 'dvc.lock'\n",
"\n",
"To track the changes with git, run:\n",
"\n",
"\tgit add dvc.lock\n",
"Use `dvc push` to send your updates to remote storage.\n",
"\u001b[0m"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GrjzOTbnzlf_",
"outputId": "eb72bf20-9f6b-4f53-d4be-c8e328f3fe26"
},
"source": [
"!t5s push"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"arguments passed: push\n",
"/content/summarization\n",
"dvc push -r origin\n",
"Uploading: 0% 0/2 [00:00<?, ?file/s{'info': ''}]\n",
"models/pytorch_model.bin: 0% 0.00/242M [00:00<?, ?it/s]\u001b[A\n",
"models/pytorch_model.bin: 0% 0.00/242M [00:00<?, ?it/s{'info': ''}]\u001b[A\n",
"\u001b[31mERROR\u001b[39m: failed to upload '.dvc/cache/5c/e55591940b3086e8e741ce48ef09c3' to 'https://dagshub.com/gagan3012/summarization.dvc/5c/e55591940b3086e8e741ce48ef09c3' - could not perform a POST request\n",
"\u001b[31mERROR\u001b[39m: failed to upload '.dvc/cache/5f/d59e3c3675d3f3fce7716206d3166d.dir' to 'https://dagshub.com/gagan3012/summarization.dvc/5f/d59e3c3675d3f3fce7716206d3166d.dir'\n",
"\u001b[31mERROR\u001b[39m: failed to push data to the cloud - 2 files failed to upload\n",
"\u001b[0mMakefile:42: recipe for target 'push' failed\n",
"make: *** [push] Error 1\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "AdNmmv9C1Uvg",
"outputId": "0c7080ef-aafe-4cfa-f95a-539e674b2ce1"
},
"source": [
"!sudo apt-get install git-lfs \n",
"!t5s push_to_hf_hub"
],
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": [
"Reading package lists... Done\n",
"Building dependency tree \n",
"Reading state information... Done\n",
"The following NEW packages will be installed:\n",
" git-lfs\n",
"0 upgraded, 1 newly installed, 0 to remove and 40 not upgraded.\n",
"Need to get 2,129 kB of archives.\n",
"After this operation, 7,662 kB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 git-lfs amd64 2.3.4-1 [2,129 kB]\n",
"Fetched 2,129 kB in 1s (1,505 kB/s)\n",
"debconf: unable to initialize frontend: Dialog\n",
"debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n",
"debconf: falling back to frontend: Readline\n",
"debconf: unable to initialize frontend: Readline\n",
"debconf: (This frontend requires a controlling tty.)\n",
"debconf: falling back to frontend: Teletype\n",
"dpkg-preconfigure: unable to re-open stdin: \n",
"Selecting previously unselected package git-lfs.\n",
"(Reading database ... 160837 files and directories currently installed.)\n",
"Preparing to unpack .../git-lfs_2.3.4-1_amd64.deb ...\n",
"Unpacking git-lfs (2.3.4-1) ...\n",
"Setting up git-lfs (2.3.4-1) ...\n",
"Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
"arguments passed: push_to_hf_hub\n",
"/content/summarization\n",
"dvc repro push_to_hf_hub\n",
"Stage 'download_data' didn't change, skipping\n",
"Stage 'process_data' didn't change, skipping\n",
"Stage 'train' didn't change, skipping\n",
"Running stage 'push_to_hf_hub':\n",
"> python src/models/hf_upload.py\n",
"2021-08-11 01:56:52.485609: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
"Global seed set to 42\n",
"Enter your HuggingFace username:gagan3012\n",
"Enter your HuggingFace token:\n",
"Check out your model at:\n",
"https://huggingface.co/gagan3012/summarsiation/commit/489bebf55d6f0f88e51ef19434d56a997d1c46c0\n",
"https://huggingface.co/gagan3012/summarsiation\n",
"Updating lock file 'dvc.lock'\n",
"\n",
"To track the changes with git, run:\n",
"\n",
"\tgit add dvc.lock\n",
"Use `dvc push` to send your updates to remote storage.\n",
"\u001b[0m"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "co1DlH-o1tXW"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
} |