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--- |
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library_name: transformers |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-wikitext2-LONG |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gpt2-wikitext2-LONG |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.5448 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 250000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:--------:|:------:|:---------------:| |
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| 6.2474 | 1.0 | 2240 | 6.1890 | |
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| 5.8841 | 2.0 | 4480 | 5.8967 | |
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| 5.5679 | 3.0 | 6720 | 5.6904 | |
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| 5.3801 | 4.0 | 8960 | 5.5438 | |
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| 5.1759 | 5.0 | 11200 | 5.4250 | |
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| 5.0068 | 6.0 | 13440 | 5.3377 | |
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| 4.818 | 7.0 | 15680 | 5.2648 | |
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| 4.6836 | 8.0 | 17920 | 5.2054 | |
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| 4.5107 | 9.0 | 20160 | 5.1622 | |
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| 4.3756 | 10.0 | 22400 | 5.1392 | |
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| 4.2265 | 11.0 | 24640 | 5.1194 | |
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| 4.0932 | 12.0 | 26880 | 5.1065 | |
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| 3.9449 | 13.0 | 29120 | 5.1109 | |
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| 3.8233 | 14.0 | 31360 | 5.1250 | |
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| 3.6796 | 15.0 | 33600 | 5.1433 | |
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| 3.5556 | 16.0 | 35840 | 5.1692 | |
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| 3.4383 | 17.0 | 38080 | 5.2086 | |
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| 3.299 | 18.0 | 40320 | 5.2423 | |
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| 3.1903 | 19.0 | 42560 | 5.2913 | |
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| 3.0618 | 20.0 | 44800 | 5.3327 | |
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| 2.9429 | 21.0 | 47040 | 5.3867 | |
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| 2.8275 | 22.0 | 49280 | 5.4452 | |
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| 2.7206 | 23.0 | 51520 | 5.5040 | |
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| 2.6081 | 24.0 | 53760 | 5.5760 | |
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| 2.5133 | 25.0 | 56000 | 5.6352 | |
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| 2.3831 | 26.0 | 58240 | 5.6871 | |
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| 2.2795 | 27.0 | 60480 | 5.7515 | |
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| 2.2009 | 28.0 | 62720 | 5.8257 | |
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| 2.0864 | 29.0 | 64960 | 5.8798 | |
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| 2.0069 | 30.0 | 67200 | 5.9585 | |
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| 1.9058 | 31.0 | 69440 | 6.0158 | |
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| 1.8336 | 32.0 | 71680 | 6.0893 | |
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| 1.7406 | 33.0 | 73920 | 6.1480 | |
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| 1.6725 | 34.0 | 76160 | 6.2075 | |
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| 1.5814 | 35.0 | 78400 | 6.2683 | |
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| 1.5209 | 36.0 | 80640 | 6.3362 | |
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| 1.4352 | 37.0 | 82880 | 6.4068 | |
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| 1.3732 | 38.0 | 85120 | 6.4493 | |
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| 1.3004 | 39.0 | 87360 | 6.5188 | |
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| 1.2466 | 40.0 | 89600 | 6.5716 | |
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| 1.1749 | 41.0 | 91840 | 6.6248 | |
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| 1.1317 | 42.0 | 94080 | 6.6937 | |
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| 1.0588 | 43.0 | 96320 | 6.7596 | |
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| 1.0154 | 44.0 | 98560 | 6.8063 | |
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| 0.9544 | 45.0 | 100800 | 6.8594 | |
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| 0.918 | 46.0 | 103040 | 6.9139 | |
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| 0.8603 | 47.0 | 105280 | 6.9788 | |
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| 0.8228 | 48.0 | 107520 | 7.0178 | |
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| 0.7757 | 49.0 | 109760 | 7.0820 | |
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| 0.7445 | 50.0 | 112000 | 7.1300 | |
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| 0.6947 | 51.0 | 114240 | 7.1802 | |
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| 0.6559 | 52.0 | 116480 | 7.2233 | |
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| 0.6281 | 53.0 | 118720 | 7.2744 | |
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| 0.5912 | 54.0 | 120960 | 7.3109 | |
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| 0.5713 | 55.0 | 123200 | 7.3557 | |
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| 0.537 | 56.0 | 125440 | 7.3980 | |
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| 0.5166 | 57.0 | 127680 | 7.4294 | |
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| 0.4882 | 58.0 | 129920 | 7.4812 | |
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| 0.4662 | 59.0 | 132160 | 7.5245 | |
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| 0.4427 | 60.0 | 134400 | 7.5481 | |
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| 0.4272 | 61.0 | 136640 | 7.5961 | |
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| 0.4046 | 62.0 | 138880 | 7.6457 | |
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| 0.395 | 63.0 | 141120 | 7.6701 | |
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| 0.3717 | 64.0 | 143360 | 7.7151 | |
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| 0.359 | 65.0 | 145600 | 7.7493 | |
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| 0.3435 | 66.0 | 147840 | 7.7703 | |
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| 0.333 | 67.0 | 150080 | 7.8155 | |
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| 0.3163 | 68.0 | 152320 | 7.8550 | |
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| 0.3074 | 69.0 | 154560 | 7.8780 | |
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| 0.2945 | 70.0 | 156800 | 7.9197 | |
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| 0.2866 | 71.0 | 159040 | 7.9441 | |
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| 0.2733 | 72.0 | 161280 | 7.9762 | |
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| 0.2655 | 73.0 | 163520 | 7.9940 | |
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| 0.2559 | 74.0 | 165760 | 8.0210 | |
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| 0.2489 | 75.0 | 168000 | 8.0440 | |
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| 0.2399 | 76.0 | 170240 | 8.0695 | |
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| 0.229 | 77.0 | 172480 | 8.0998 | |
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| 0.2254 | 78.0 | 174720 | 8.1213 | |
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| 0.2159 | 79.0 | 176960 | 8.1404 | |
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| 0.2118 | 80.0 | 179200 | 8.1594 | |
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| 0.2042 | 81.0 | 181440 | 8.1839 | |
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| 0.199 | 82.0 | 183680 | 8.2196 | |
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| 0.1935 | 83.0 | 185920 | 8.2277 | |
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| 0.1882 | 84.0 | 188160 | 8.2494 | |
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| 0.1826 | 85.0 | 190400 | 8.2727 | |
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| 0.1793 | 86.0 | 192640 | 8.2852 | |
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| 0.1732 | 87.0 | 194880 | 8.3022 | |
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| 0.1703 | 88.0 | 197120 | 8.3139 | |
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| 0.1647 | 89.0 | 199360 | 8.3354 | |
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| 0.1625 | 90.0 | 201600 | 8.3469 | |
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| 0.1579 | 91.0 | 203840 | 8.3671 | |
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| 0.154 | 92.0 | 206080 | 8.3825 | |
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| 0.1506 | 93.0 | 208320 | 8.3879 | |
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| 0.147 | 94.0 | 210560 | 8.4059 | |
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| 0.143 | 95.0 | 212800 | 8.4183 | |
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| 0.1403 | 96.0 | 215040 | 8.4287 | |
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| 0.1371 | 97.0 | 217280 | 8.4522 | |
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| 0.1351 | 98.0 | 219520 | 8.4547 | |
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| 0.1306 | 99.0 | 221760 | 8.4614 | |
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| 0.1294 | 100.0 | 224000 | 8.4809 | |
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| 0.126 | 101.0 | 226240 | 8.4951 | |
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| 0.1235 | 102.0 | 228480 | 8.4978 | |
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| 0.1213 | 103.0 | 230720 | 8.5041 | |
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| 0.1195 | 104.0 | 232960 | 8.5161 | |
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| 0.1174 | 105.0 | 235200 | 8.5176 | |
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| 0.1147 | 106.0 | 237440 | 8.5268 | |
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| 0.1134 | 107.0 | 239680 | 8.5325 | |
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| 0.1123 | 108.0 | 241920 | 8.5376 | |
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| 0.1101 | 109.0 | 244160 | 8.5404 | |
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| 0.1082 | 110.0 | 246400 | 8.5439 | |
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| 0.1083 | 111.0 | 248640 | 8.5434 | |
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| 0.1069 | 111.6071 | 250000 | 8.5448 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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