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End of training

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  1. README.md +62 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 5.9799
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  ## Model description
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@@ -40,22 +40,72 @@ The following hyperparameters were used during training:
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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: 10
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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 | 8.6529 |
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- | No log | 2.0 | 110 | 7.5256 |
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- | No log | 3.0 | 165 | 6.9506 |
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- | No log | 4.0 | 220 | 6.5920 |
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- | No log | 5.0 | 275 | 6.3522 |
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- | No log | 6.0 | 330 | 6.1985 |
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- | No log | 7.0 | 385 | 6.0856 |
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- | No log | 8.0 | 440 | 6.0268 |
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- | No log | 9.0 | 495 | 5.9909 |
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- | 6.7444 | 10.0 | 550 | 5.9799 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 5.9545
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  ## Model description
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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 | 8.5190 |
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+ | No log | 2.0 | 110 | 7.4322 |
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+ | No log | 3.0 | 165 | 6.8293 |
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+ | No log | 4.0 | 220 | 6.4236 |
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+ | No log | 5.0 | 275 | 6.1531 |
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+ | No log | 6.0 | 330 | 5.9612 |
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+ | No log | 7.0 | 385 | 5.8416 |
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+ | No log | 8.0 | 440 | 5.7474 |
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+ | No log | 9.0 | 495 | 5.6872 |
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+ | 6.3834 | 10.0 | 550 | 5.6486 |
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+ | 6.3834 | 11.0 | 605 | 5.5969 |
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+ | 6.3834 | 12.0 | 660 | 5.5827 |
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+ | 6.3834 | 13.0 | 715 | 5.5627 |
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+ | 6.3834 | 14.0 | 770 | 5.5509 |
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+ | 6.3834 | 15.0 | 825 | 5.5746 |
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+ | 6.3834 | 16.0 | 880 | 5.5477 |
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+ | 6.3834 | 17.0 | 935 | 5.5764 |
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+ | 6.3834 | 18.0 | 990 | 5.5475 |
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+ | 4.2576 | 19.0 | 1045 | 5.5701 |
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+ | 4.2576 | 20.0 | 1100 | 5.5757 |
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+ | 4.2576 | 21.0 | 1155 | 5.6158 |
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+ | 4.2576 | 22.0 | 1210 | 5.6003 |
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+ | 4.2576 | 23.0 | 1265 | 5.6272 |
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+ | 4.2576 | 24.0 | 1320 | 5.6349 |
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+ | 4.2576 | 25.0 | 1375 | 5.6467 |
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+ | 4.2576 | 26.0 | 1430 | 5.6575 |
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+ | 4.2576 | 27.0 | 1485 | 5.6818 |
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+ | 3.4152 | 28.0 | 1540 | 5.6897 |
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+ | 3.4152 | 29.0 | 1595 | 5.6875 |
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+ | 3.4152 | 30.0 | 1650 | 5.7030 |
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+ | 3.4152 | 31.0 | 1705 | 5.7308 |
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+ | 3.4152 | 32.0 | 1760 | 5.7422 |
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+ | 3.4152 | 33.0 | 1815 | 5.7560 |
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+ | 3.4152 | 34.0 | 1870 | 5.7644 |
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+ | 3.4152 | 35.0 | 1925 | 5.7988 |
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+ | 3.4152 | 36.0 | 1980 | 5.7759 |
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+ | 2.8482 | 37.0 | 2035 | 5.7892 |
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+ | 2.8482 | 38.0 | 2090 | 5.8214 |
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+ | 2.8482 | 39.0 | 2145 | 5.8386 |
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+ | 2.8482 | 40.0 | 2200 | 5.8246 |
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+ | 2.8482 | 41.0 | 2255 | 5.8580 |
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+ | 2.8482 | 42.0 | 2310 | 5.8562 |
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+ | 2.8482 | 43.0 | 2365 | 5.8529 |
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+ | 2.8482 | 44.0 | 2420 | 5.8701 |
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+ | 2.8482 | 45.0 | 2475 | 5.8914 |
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+ | 2.4471 | 46.0 | 2530 | 5.8920 |
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+ | 2.4471 | 47.0 | 2585 | 5.9039 |
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+ | 2.4471 | 48.0 | 2640 | 5.9037 |
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+ | 2.4471 | 49.0 | 2695 | 5.9150 |
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+ | 2.4471 | 50.0 | 2750 | 5.9216 |
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+ | 2.4471 | 51.0 | 2805 | 5.9226 |
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+ | 2.4471 | 52.0 | 2860 | 5.9340 |
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+ | 2.4471 | 53.0 | 2915 | 5.9412 |
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+ | 2.4471 | 54.0 | 2970 | 5.9457 |
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+ | 2.1859 | 55.0 | 3025 | 5.9533 |
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+ | 2.1859 | 56.0 | 3080 | 5.9497 |
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+ | 2.1859 | 57.0 | 3135 | 5.9548 |
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+ | 2.1859 | 58.0 | 3190 | 5.9579 |
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+ | 2.1859 | 59.0 | 3245 | 5.9553 |
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+ | 2.1859 | 60.0 | 3300 | 5.9545 |
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  ### Framework versions
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