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--- |
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license: mit |
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base_model: openai-community/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 |
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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 |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.6547 |
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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: 1e-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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- num_epochs: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 55 | 9.1458 | |
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| No log | 2.0 | 110 | 8.3471 | |
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| No log | 3.0 | 165 | 7.7884 | |
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| No log | 4.0 | 220 | 7.3751 | |
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| No log | 5.0 | 275 | 7.0487 | |
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| No log | 6.0 | 330 | 6.7857 | |
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| No log | 7.0 | 385 | 6.5840 | |
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| No log | 8.0 | 440 | 6.4196 | |
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| No log | 9.0 | 495 | 6.2584 | |
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| 7.3272 | 10.0 | 550 | 6.1628 | |
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| 7.3272 | 11.0 | 605 | 6.0521 | |
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| 7.3272 | 12.0 | 660 | 5.9861 | |
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| 7.3272 | 13.0 | 715 | 5.9223 | |
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| 7.3272 | 14.0 | 770 | 5.8760 | |
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| 7.3272 | 15.0 | 825 | 5.8246 | |
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| 7.3272 | 16.0 | 880 | 5.7813 | |
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| 7.3272 | 17.0 | 935 | 5.7663 | |
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| 7.3272 | 18.0 | 990 | 5.7275 | |
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| 5.2638 | 19.0 | 1045 | 5.7022 | |
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| 5.2638 | 20.0 | 1100 | 5.6905 | |
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| 5.2638 | 21.0 | 1155 | 5.6803 | |
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| 5.2638 | 22.0 | 1210 | 5.6740 | |
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| 5.2638 | 23.0 | 1265 | 5.6631 | |
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| 5.2638 | 24.0 | 1320 | 5.6461 | |
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| 5.2638 | 25.0 | 1375 | 5.6326 | |
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| 5.2638 | 26.0 | 1430 | 5.6280 | |
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| 5.2638 | 27.0 | 1485 | 5.6408 | |
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| 4.5099 | 28.0 | 1540 | 5.6194 | |
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| 4.5099 | 29.0 | 1595 | 5.6255 | |
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| 4.5099 | 30.0 | 1650 | 5.6218 | |
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| 4.5099 | 31.0 | 1705 | 5.6127 | |
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| 4.5099 | 32.0 | 1760 | 5.6140 | |
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| 4.5099 | 33.0 | 1815 | 5.6281 | |
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| 4.5099 | 34.0 | 1870 | 5.6305 | |
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| 4.5099 | 35.0 | 1925 | 5.6139 | |
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| 4.5099 | 36.0 | 1980 | 5.6331 | |
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| 4.0571 | 37.0 | 2035 | 5.6323 | |
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| 4.0571 | 38.0 | 2090 | 5.6137 | |
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| 4.0571 | 39.0 | 2145 | 5.6258 | |
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| 4.0571 | 40.0 | 2200 | 5.6322 | |
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| 4.0571 | 41.0 | 2255 | 5.6392 | |
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| 4.0571 | 42.0 | 2310 | 5.6308 | |
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| 4.0571 | 43.0 | 2365 | 5.6329 | |
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| 4.0571 | 44.0 | 2420 | 5.6373 | |
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| 4.0571 | 45.0 | 2475 | 5.6407 | |
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| 3.7638 | 46.0 | 2530 | 5.6489 | |
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| 3.7638 | 47.0 | 2585 | 5.6489 | |
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| 3.7638 | 48.0 | 2640 | 5.6445 | |
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| 3.7638 | 49.0 | 2695 | 5.6428 | |
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| 3.7638 | 50.0 | 2750 | 5.6425 | |
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| 3.7638 | 51.0 | 2805 | 5.6450 | |
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| 3.7638 | 52.0 | 2860 | 5.6566 | |
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| 3.7638 | 53.0 | 2915 | 5.6504 | |
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| 3.7638 | 54.0 | 2970 | 5.6494 | |
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| 3.5759 | 55.0 | 3025 | 5.6538 | |
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| 3.5759 | 56.0 | 3080 | 5.6555 | |
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| 3.5759 | 57.0 | 3135 | 5.6529 | |
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| 3.5759 | 58.0 | 3190 | 5.6567 | |
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| 3.5759 | 59.0 | 3245 | 5.6551 | |
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| 3.5759 | 60.0 | 3300 | 5.6547 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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