| Step | \n","Training Loss | \n","
|---|---|
| 1 | \n","4.632900 | \n","
| 2 | \n","4.785000 | \n","
| 3 | \n","4.725800 | \n","
| 4 | \n","4.498500 | \n","
| 5 | \n","4.526100 | \n","
| 6 | \n","4.546100 | \n","
| 7 | \n","4.197700 | \n","
| 8 | \n","4.044100 | \n","
| 9 | \n","4.361300 | \n","
| 10 | \n","4.104100 | \n","
| 11 | \n","4.256700 | \n","
| 12 | \n","3.846900 | \n","
| 13 | \n","3.562900 | \n","
| 14 | \n","3.647100 | \n","
| 15 | \n","3.677400 | \n","
| 16 | \n","3.339300 | \n","
| 17 | \n","3.200300 | \n","
| 18 | \n","3.564800 | \n","
| 19 | \n","3.057700 | \n","
| 20 | \n","3.342800 | \n","
| 21 | \n","3.475100 | \n","
| 22 | \n","2.992000 | \n","
| 23 | \n","2.834900 | \n","
| 24 | \n","2.652300 | \n","
| 25 | \n","3.243600 | \n","
| 26 | \n","2.976000 | \n","
| 27 | \n","3.395400 | \n","
| 28 | \n","2.868300 | \n","
| 29 | \n","2.639700 | \n","
| 30 | \n","2.689000 | \n","
| 31 | \n","2.828400 | \n","
| 32 | \n","3.130400 | \n","
| 33 | \n","2.471300 | \n","
| 34 | \n","2.637300 | \n","
| 35 | \n","2.523500 | \n","
| 36 | \n","2.338600 | \n","
| 37 | \n","2.774200 | \n","
| 38 | \n","2.458300 | \n","
| 39 | \n","2.606900 | \n","
| 40 | \n","2.819700 | \n","
| 41 | \n","2.602900 | \n","
| 42 | \n","2.166600 | \n","
| 43 | \n","2.204600 | \n","
| 44 | \n","2.405500 | \n","
| 45 | \n","1.929400 | \n","
| 46 | \n","2.289100 | \n","
| 47 | \n","2.157100 | \n","
| 48 | \n","2.095500 | \n","
| 49 | \n","2.639400 | \n","
| 50 | \n","2.201900 | \n","
| 51 | \n","1.789000 | \n","
| 52 | \n","2.046100 | \n","
| 53 | \n","2.414200 | \n","
| 54 | \n","2.117800 | \n","
| 55 | \n","2.614400 | \n","
| 56 | \n","1.842500 | \n","
| 57 | \n","2.100100 | \n","
| 58 | \n","3.374300 | \n","
| 59 | \n","2.244300 | \n","
| 60 | \n","2.533400 | \n","
| 61 | \n","1.754700 | \n","
| 62 | \n","2.725600 | \n","
| 63 | \n","2.347400 | \n","
| 64 | \n","2.164600 | \n","
| 65 | \n","2.615300 | \n","
| 66 | \n","2.275800 | \n","
| 67 | \n","1.806700 | \n","
| 68 | \n","2.040100 | \n","
| 69 | \n","1.925000 | \n","
| 70 | \n","1.313200 | \n","
| 71 | \n","2.344600 | \n","
| 72 | \n","2.901200 | \n","
"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["TrainOutput(global_step=72, training_loss=2.8924238599008985, metrics={'train_runtime': 430.1614, 'train_samples_per_second': 0.67, 'train_steps_per_second': 0.167, 'total_flos': 425393421932544.0, 'train_loss': 2.8924238599008985, 'epoch': 1.0})"]},"metadata":{},"execution_count":17}]},{"cell_type":"markdown","source":["# Save trained model"],"metadata":{"id":"wqG2axYHqfpO"}},{"cell_type":"code","source":["model.save_pretrained(\"trained-model\")"],"metadata":{"id":"2SqPtd-2qfNU","executionInfo":{"status":"ok","timestamp":1694778473330,"user_tz":-330,"elapsed":688,"user":{"displayName":"Bitan Paul","userId":"16789405851811800399"}}},"execution_count":18,"outputs":[]},{"cell_type":"code","source":["PEFT_MODEL = \"thebitanpaul/midjourneyPromptGenerator\"\n","\n","model.push_to_hub(\n"," PEFT_MODEL, use_auth_token=True, create_pr=True\n",")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272,"referenced_widgets":["86ea7aee86824993bc7b053ad6eeb189","d31aa2b80b254e1eb74e6a59590ec147","6f47e73b78624087a01a4b1206482350","c60c46319295455b84ec136d28c696de","d82a9a7a3ac840ed9f12d447004f2ecb","44550408b2b544678144d0a2493638ba","8261d67f388a471ea2c3ec10fa26a67c","bde25efa4bea47a08378e31c57ca2936","01be9dd7987c4ca8ba70792e1b0b1973","361353a2107046c6be45e2bad69a9579","dd00261660bc4165a140dd95a85dc6c6","fa288995ff024967ba16058bcb46d8c4","5cfcb15352234a64b78571f6be05be1d","1d4b430401074da785c61c3445275c24","31dc15264b774d24a2b1ca5bd3bcb8c7","db28f66326ba424b975ea0977c247373","15067311060e43579df225f211886a48","dc346d64d8f6411881734c30da296ac6","900278ec4fc343c1ac700a8cc6425df5","88de5a4934e149acae0a65001b86a850","4cf6404b74584b54aa4737e6d194b130","586fd41d8b5547e4bc1a252c5564c4f0","b92f4e50f4894dedb652ebfc0788c131","4629fa1c00a34c8893b10b0e6e645476","2b5d54fd2cfb4fd7b8187ba808a9ecf1","3d3092eeb27f4d4f8dc34ac1bfe2c25d","4f1da04d9b914defb8bfce7cdae52c60","405f5c3b9cb14177bd5c6c114ee27250","1d8e4d73eaf649458bffb2289bf5950f","2b2992b04e2e4f11b90b487936353305","2c2dedb163c54450a90a0f3b1d2cf3e5","587423d51630425cb87444579ba11066","055fb04db81d4421bf76961514bd4a57"]},"id":"CO5XoASWqzLI","executionInfo":{"status":"ok","timestamp":1694778627967,"user_tz":-330,"elapsed":7832,"user":{"displayName":"Bitan Paul","userId":"16789405851811800399"}},"outputId":"edccc597-ffc1-4f91-a03a-cd2c2445821c"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/_commit_api.py:273: UserWarning: About to update multiple times the same file in the same commit: 'adapter_config.json'. This can cause undesired inconsistencies in your repo.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/huggingface_hub/_commit_api.py:273: UserWarning: About to update multiple times the same file in the same commit: 'adapter_model.bin'. This can cause undesired inconsistencies in your repo.\n"," warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["Upload 2 LFS files: 0%| | 0/2 [00:00: midjourney prompt for Albert Einstein playing a guitar\n"," Albert Einstein playing a guitar A portrait of Albert Einstein playing a guitar, with a backdrop of a city skyline, a bright blue sky, and a warm golden light, --ar 16:9 --no-repeat --no-stretch --no-scale --no-flip --no-flip-horizontal --no-flip-vertical --no-repeat --no-stretch --ar 16:9 --ar 4:3 --no-repeat --no-scale --no-flip --no-flip-horizontal --no-flip-vertical --no-repeat --no-stretch --ar 16:9 --ar 4:3 --ar 16:9 --ar 4:3 --ar 16:9 --ar 16:9 --ar 16\n","CPU times: user 1min 19s, sys: 140 ms, total: 1min 19s\n","Wall time: 1min 33s\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"5QWwDaxOvQ4N"},"execution_count":null,"outputs":[]}]}
\ No newline at end of file