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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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base_model: gpt2 |
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model-index: |
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- name: model |
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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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# model |
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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: 1.6646 |
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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: 5e-05 |
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- train_batch_size: 2 |
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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: 50 |
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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 | 19 | 1.3686 | |
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| No log | 2.0 | 38 | 1.2421 | |
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| No log | 3.0 | 57 | 1.1842 | |
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| No log | 4.0 | 76 | 1.1521 | |
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| No log | 5.0 | 95 | 1.1380 | |
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| 1.0495 | 6.0 | 114 | 1.1546 | |
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| 1.0495 | 7.0 | 133 | 1.1386 | |
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| 1.0495 | 8.0 | 152 | 1.1506 | |
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| 1.0495 | 9.0 | 171 | 1.1830 | |
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| 1.0495 | 10.0 | 190 | 1.1794 | |
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| 0.5118 | 11.0 | 209 | 1.2288 | |
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| 0.5118 | 12.0 | 228 | 1.2412 | |
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| 0.5118 | 13.0 | 247 | 1.2557 | |
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| 0.5118 | 14.0 | 266 | 1.2424 | |
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| 0.5118 | 15.0 | 285 | 1.2588 | |
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| 0.3204 | 16.0 | 304 | 1.3023 | |
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| 0.3204 | 17.0 | 323 | 1.3486 | |
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| 0.3204 | 18.0 | 342 | 1.3655 | |
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| 0.3204 | 19.0 | 361 | 1.3789 | |
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| 0.3204 | 20.0 | 380 | 1.4344 | |
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| 0.3204 | 21.0 | 399 | 1.4447 | |
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| 0.2116 | 22.0 | 418 | 1.4595 | |
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| 0.2116 | 23.0 | 437 | 1.5016 | |
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| 0.2116 | 24.0 | 456 | 1.4811 | |
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| 0.2116 | 25.0 | 475 | 1.5362 | |
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| 0.2116 | 26.0 | 494 | 1.5024 | |
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| 0.1447 | 27.0 | 513 | 1.5767 | |
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| 0.1447 | 28.0 | 532 | 1.5252 | |
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| 0.1447 | 29.0 | 551 | 1.5311 | |
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| 0.1447 | 30.0 | 570 | 1.5737 | |
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| 0.1447 | 31.0 | 589 | 1.5664 | |
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| 0.1165 | 32.0 | 608 | 1.5666 | |
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| 0.1165 | 33.0 | 627 | 1.6021 | |
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| 0.1165 | 34.0 | 646 | 1.5742 | |
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| 0.1165 | 35.0 | 665 | 1.6422 | |
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| 0.1165 | 36.0 | 684 | 1.6173 | |
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| 0.0943 | 37.0 | 703 | 1.6439 | |
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| 0.0943 | 38.0 | 722 | 1.6504 | |
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| 0.0943 | 39.0 | 741 | 1.6185 | |
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| 0.0943 | 40.0 | 760 | 1.6250 | |
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| 0.0943 | 41.0 | 779 | 1.6312 | |
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| 0.0943 | 42.0 | 798 | 1.6583 | |
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| 0.0786 | 43.0 | 817 | 1.6477 | |
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| 0.0786 | 44.0 | 836 | 1.6553 | |
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| 0.0786 | 45.0 | 855 | 1.6627 | |
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| 0.0786 | 46.0 | 874 | 1.6686 | |
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| 0.0786 | 47.0 | 893 | 1.6655 | |
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| 0.0722 | 48.0 | 912 | 1.6617 | |
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| 0.0722 | 49.0 | 931 | 1.6661 | |
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| 0.0722 | 50.0 | 950 | 1.6646 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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