diff --git "a/TRAINER (2).ipynb" "b/TRAINER (2).ipynb" deleted file mode 100644--- "a/TRAINER (2).ipynb" +++ /dev/null @@ -1,6676 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "pdymVP95XA4_", - "outputId": "9dd22bfa-2e4f-4c5f-f544-c73431671713" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n", - "Token is valid (permission: write).\n", - "Your token has been saved to /root/.cache/huggingface/token\n", - "Login successful\n" - ] - } - ], - "source": [ - "# Store your huggingface token as a environment variable.\n", - "# It is used to download or upload models to your account.\n", - "from google.colab import userdata\n", - "from huggingface_hub import login\n", - "login(userdata.get('TOKEN'))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "cBEG5Pq1lG-G" - }, - "outputs": [], - "source": [ - "%%capture\n", - "# Installs Unsloth, Xformers (Flash Attention) and all other packages!\n", - "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n", - "!pip install --upgrade transformers\n", - "\n", - "# We have to check which Torch version for Xformers (2.3 -> 0.0.27)\n", - "from torch import __version__; from packaging.version import Version as V\n", - "xformers = \"xformers==0.0.27\" if V(__version__) < V(\"2.4.0\") else \"xformers\"\n", - "!pip install --no-deps {xformers} trl peft accelerate bitsandbytes triton" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aRz4XCANNy8b", - "outputId": "0ccf0b95-5daf-452f-8bf7-37e224f5ce81" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n" - ] - } - ], - "source": [ - "from unsloth import FastLanguageModel\n", - "import torch\n", - "\n", - "max_seq_length = 2048\n", - "\n", - "def load_model(model_name, max_seq_length=max_seq_length, dtype=None, load_in_4bit=True):\n", - " model, tokenizer = FastLanguageModel.from_pretrained(\n", - " model_name=model_name,\n", - " max_seq_length=max_seq_length,\n", - " dtype=dtype,\n", - " load_in_4bit=load_in_4bit,\n", - " )\n", - " return model, tokenizer" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 362, - "referenced_widgets": [ - "3689cf3776564eb0aeee4330dfa3e3d3", - "e041f54e04f54dcdb034b01061828560", - "f678ea6d3cae4b8584ad2554455170c7", - "0fdd0b53f0d8421582dc703055324f5a", - "9376591750f84fca8cb28e9c3547d7c2", - "a7dbef2655fd4910b4c77be13aeec794", - "2dd41449ffba43aaab27524ed293ac5c", - "ad69f28769ae4b058943d05f4f0106c9", - "5d1a2752ee08428f9a20744b1b0c1a13", - "89b90dada4a84f2784f8de3b56257237", - "3abd9a7962c44661b9711bc72f0ae1c1", - "b6ae505a739248ad9f4ae19fd2e27dfa", - "482f20a8b0e34585826572068f372caf", - "a44d2bb7eff54dba8b08cf688bb78e47", - "1456f51cf75c46419ae41c935e91ca6c", - "ee6ad031528e4a96821df3e4aa302aab", - "1600c0a5ca3b4957ba043162cc87a9d4", - "e2839ead63f34026a48b659b457cd287", - "a35995218e48452d8e1d06519178cbff", - "f682e8e835f54e118b31735241991610", - "4029a9c9b7d94462b1c7769d09371837", - "3423063d3cee4779890e0699f9942d87", - "14a2f3c4a8e545d4b51df59ef1c9fb57", - "2b9a63e62ddd4f7d9c662d894b8aba98", - "f8e88ed0e5fc456d9ca0af2921b84567", - "b44f4fff2e2c4d8b9fcf646c020ea120", - "0eec7d5de3ab4c079223d8ff6025b926", - "3d7bc27517644abebd7fc689c2572604", - "9b25f95b98ec444ea895b49ec9389fe0", - "7b26e464957d415692883cbb35eec48d", - "0f29692848b047e798847da2f622d989", - "5f32ee9393e8461c8d19ef9193db3883", - "9f430a851527456a809dee52f4f6fa1e", - "f253dd622f3e40639adac4e92121b850", - "27fe49df0ce346f8a11876ab748b8e62", - "47013ab3439741d09d1f480345cab67a", - "91319f286c9244699008214edbeaa37c", - "fea3d63aed214c31b85c7a61c223be70", - "a31433fafff14d6db5295da689d6a2dc", - "f755042c9d284beb9e62b46cabbce95a", - "1f92034da40c472aa6d4ae1ad72304fa", - "4fc8bb4fdfc34f4999ed4cb2f16cb9ec", - "58f8bb95982846409adef80ee31181c3", - "23f6e928e27749b28f146896adfb93c1", - "435a19574aa240d1820e042ea58db8ab", - "392f5e3c99054f9980820d566c82f9f3", - "12fc8d312dcf404280074026890b08c1", - "235195f2c3904776aabc1b3873ba73e6", - "7c453e5e85a348a08b45e82338fd1827", - "8883c661c0404f5c9eee1a50501b2049", - "31a55dd3528a48ceb6c88f9165271dc1", - "c8b909a793394f159e4539d42ee63efe", - "66dda996d9ee48579583bb0d15056bef", - "827108f23a1d45f493abe37e2026efce", - "bb25cc648bd04e6da1a7bc431a9e3a1d", - "c4326ba898bd4741b5dd1c26c1bdbe5b", - "09e2dee7f7684deea98df4f04ad67a45", - "93dc969e22dc4430962979f74965458e", - "41cd9cc5172045aaa3eed8ca0d3715ca", - "5ecda50fe7b64895b3869d238697f523", - "90106cc2003f4968aa4c32a66ef8a5cf", - "6147cf84651d455ebc91606ef761752c", - "58aee35908e845f08bae7b2082fa139f", - "107bf752d7194e45bb2e45031ec964f1", - "6be7918e435a43819bdd95e04f502012", - "9e6fd5d822f845628e4cae4bb1cc9260", - "10249ba56f2c4718b938c741b0787dcc", - "1ad218f809744ea48ba2f5f430c4d342", - "cc1308b0d90a452981e72e1f3b4ba19a", - "0dfd7601605b4ea189a844e329aa388d", - "4a071fc3531c4d968483d81e9a91d5b4", - "17b807ada6034094bfc17e8905d26293", - "08f570ac3f6645b791dec4fc8f034313", - "9d9f79126c4b4c629a6d863cd09f6c6c", - "e41e17aa9d594c9b9df9c4cda16ff259", - "6f8a14f3850b414ba6607b3560d869b0", - "9a31dacd9bff4ac5a42f6549cb686819" - ] - }, - "id": "urDIg3QRlCMx", - "outputId": "b45d8a03-31ab-4d4a-ea31-bb9f7e6314fc" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "==((====))== Unsloth 2024.9.post4: Fast Llama patching. Transformers = 4.45.1.\n", - " \\\\ /| GPU: Tesla T4. Max memory: 14.748 GB. Platform = Linux.\n", - "O^O/ \\_/ \\ Pytorch: 2.4.1+cu121. CUDA = 7.5. CUDA Toolkit = 12.1.\n", - "\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.28.post1. FA2 = False]\n", - " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n", - "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "model.safetensors: 0%| | 0.00/2.26G [00:00\n", - " \n", - " \n", - " [ 216/3957 4:30:13 < 78:43:45, 0.01 it/s, Epoch 0.16/3]\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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StepTraining Loss
11.190300
21.170200
31.127500
40.966100
50.900900
60.679400
70.508900
80.372600
90.314400
100.239900
110.224400
120.220800
130.210900
140.198400
150.168700
160.177600
170.165700
180.165200
190.158600
200.160900
210.150700
220.164300
230.153900
240.152200
250.164800
260.157500
270.147100
280.153500
290.154900
300.140600
310.148100
320.150900
330.133300
340.137600
350.134300
360.134500
370.143400
380.131400
390.129300
400.134000
410.122100
420.122700
430.130300
440.126000
450.122300
460.133500
470.116900
480.125700
490.138400
500.137300
510.126000
520.125800
530.119500
540.115100
550.119800
560.113900
570.106700
580.102900
590.114900
600.108800
610.107000
620.107100
630.123400
640.111700
650.119400
660.105800
670.118200
680.103700
690.103800
700.114400
710.116800
720.110800
730.112000
740.097700
750.097700
760.104100
770.100000
780.097500
790.094400
800.099400
810.099900
820.105500
830.111300
840.091300
850.094300
860.111600
870.095900
880.099900
890.100800
900.093300
910.094600
920.107300
930.090600
940.089100
950.099000
960.090400
970.098100
980.087900
990.097600
1000.092100
1010.094300
1020.089800
1030.092700
1040.092900
1050.087100
1060.099300
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StepTraining Loss
11.190300
21.170200
31.127500
40.966100
50.900900
60.679400
70.508900
80.372600
90.314400
100.239900
110.224400
120.220800
130.210900
140.198400
150.168700
160.177600
170.165700
180.165200
190.158600
200.160900
210.150700
220.164300
230.153900
240.152200
250.164800
260.157500
270.147100
280.153500
290.154900
300.140600
310.148100
320.150900
330.133300
340.137600
350.134300
360.134500
370.143400
380.131400
390.129300
400.134000
410.122100
420.122700
430.130300
440.126000
450.122300
460.133500
470.116900
480.125700
490.138400
500.137300
510.126000
520.125800
530.119500
540.115100
550.119800
560.113900
570.106700
580.102900
590.114900
600.108800
610.107000
620.107100
630.123400
640.111700
650.119400
660.105800
670.118200
680.103700
690.103800
700.114400
710.116800
720.110800
730.112000
740.097700
750.097700
760.104100
770.100000
780.097500
790.094400
800.099400
810.099900
820.105500
830.111300
840.091300
850.094300
860.111600
870.095900
880.099900
890.100800
900.093300
910.094600
920.107300
930.090600
940.089100
950.099000
960.090400
970.098100
980.087900
990.097600
1000.092100
1010.094300
1020.089800
1030.092700
1040.092900
1050.087100
1060.099300
1070.098400
1080.095700
1090.086000
1100.092600
1110.095200
1120.092300
1130.088600
1140.086800
1150.093900
1160.089400
1170.085200
1180.088000
1190.084600
1200.085000
1210.077800
1220.081400
1230.079400
1240.085200
1250.086700
1260.090500
1270.094300
1280.088800
1290.086400
1300.085100
1310.089200
1320.086400
1330.085700
1340.086600
1350.085100
1360.086100
1370.089200
1380.090800
1390.089900
1400.081000
1410.081300
1420.081300
1430.084400
1440.096700
1450.084600
1460.091900
1470.083300
1480.086900
1490.086500
1500.079600
1510.078700
1520.082500
1530.077400
1540.080600
1550.079600
1560.091500
1570.081000
1580.082900
1590.089100
1600.076200
1610.084900
1620.091200
1630.091000
1640.081500
1650.075500
1660.081600
1670.077400
1680.081500
1690.091400
1700.086800
1710.086300
1720.078600
1730.088400
1740.086700
1750.077100
1760.077000
1770.075900
1780.091300
1790.082400
1800.078000
1810.079000
1820.098200
1830.081100
1840.081700
1850.080200
1860.087200
1870.086300
1880.082700
1890.075700
1900.082800
1910.082600
1920.080300
1930.081000
1940.077900
1950.080100
1960.079100
1970.077100
1980.075200
1990.076800
2000.076000
2010.082700
2020.080900
2030.081000
2040.077900
2050.080600
2060.092600
2070.081000
2080.073900
2090.077800
2100.079000
2110.073600
2120.079200
2130.070000
2140.072000
2150.081300
2160.076300
2170.075100
2180.077500
2190.072600
2200.079000
2210.083400
2220.078400
2230.082300
2240.081200
2250.076200
2260.078500
2270.069100
2280.079800
2290.084200
2300.075800
2310.073700
2320.081600
2330.080200
2340.072400
2350.079200
2360.074500
2370.074300
2380.076100
2390.074900
2400.070300
2410.074700
2420.077300
2430.078800
2440.070700
2450.072600
2460.080200
2470.073800
2480.069400
2490.080000
2500.076700
2510.072000
2520.072700
2530.076100
2540.074600
2550.072800
2560.080100
2570.086300
2580.084900
2590.077100
2600.071000
2610.068500
2620.076300
2630.064500
2640.072700
2650.073000
2660.074900
2670.082100
2680.074900
2690.073800
2700.077600
2710.076300
2720.075700
2730.067600
2740.071000
2750.071800
2760.075600
2770.076600
2780.080500
2790.071600
2800.069700
2810.076500
2820.072700
2830.073800
2840.073000
2850.074000
2860.070800
2870.069300
2880.073700
2890.072500
2900.071000
2910.068400
2920.074700
2930.070700
2940.076200
2950.073800
2960.078400
2970.071900
2980.071300
2990.074200
3000.077000
3010.075700
3020.077400
3030.069400
3040.073200
3050.069400
3060.070000
3070.067700
3080.071400
3090.073300
3100.076000
3110.071200
3120.074500
3130.072700
3140.081700
3150.069900
3160.075000
3170.074700
3180.078000
3190.073400
3200.083300
3210.070800
3220.067300
3230.078400
3240.075700
3250.073500
3260.071200
3270.073300
3280.075900
3290.069500
3300.072200
3310.070200
3320.070300
3330.076900
3340.071200
3350.072200
3360.070600
3370.070700
3380.077800
3390.076100
3400.073700
3410.077700
3420.072300
3430.068200
3440.068600
3450.068300
3460.074800
3470.065200
3480.069900
3490.071500
3500.066800
3510.070000
3520.078400
3530.077900
3540.076800
3550.076200
3560.081700
3570.071600
3580.076300
3590.075600
3600.066200
3610.065700
3620.067700
3630.084000
3640.066600
3650.069300
3660.071600
3670.068500
3680.073200
3690.074700
3700.075100
3710.078100
3720.071100
3730.067800
3740.074400
3750.074700
3760.069600
3770.075600
3780.071000
3790.065700
3800.074100
3810.069700
3820.073000
3830.074000
3840.068400
3850.070700
3860.073500
3870.071800
3880.074700
3890.079000
3900.068800
3910.072400
3920.086500
3930.071700
3940.072700
3950.073100
3960.069200
3970.071600
3980.066700
3990.067500
4000.069300
4010.072200
4020.072300
4030.073000
4040.068700
4050.064400
4060.068100
4070.068200
4080.088000
4090.073100
4100.067500
4110.077400
4120.073900
4130.067900
4140.066400
4150.072700
4160.071400
4170.065600
4180.074600
4190.069800
4200.064000
4210.071300
4220.066300
4230.065200
4240.075600
4250.072600
4260.068900
4270.071700
4280.067400
4290.066900
4300.073400
4310.069400
4320.063300
4330.069600
4340.075400
4350.066600
4360.071200
4370.073500

" - ] - }, - "metadata": {} - } - ], - "source": [ - "try:\n", - " trainer_stats = trainer.train(resume_from_checkpoint=True)\n", - "except:\n", - " trainer_stats = trainer.train()" - ] - }, - { - "cell_type": "code", - "source": [ - "from google.colab import runtime\n", - "runtime.unassign()" - ], - "metadata": { - "id": "h44slV_NISp2" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "j1M3mCf8fogx" - }, - "source": [] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "gpuType": "T4", - "machine_shape": "hm", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "3689cf3776564eb0aeee4330dfa3e3d3": { - "model_module": "@jupyter-widgets/controls", - "model_name": "HBoxModel", - "model_module_version": "1.5.0", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - 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