update model card README.md
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README.md
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs:
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- mixed_precision_training: Native AMP
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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 | 16 |
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| No log | 2.0 | 32 | 9.
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| No log | 3.0 | 48 | 8.
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| No log | 4.0 | 64 | 8.
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| No log | 5.0 | 80 | 8.
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| No log | 6.0 | 96 | 7.
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| No log | 7.0 | 112 | 7.
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| No log | 8.0 | 128 | 7.
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| No log | 9.0 | 144 | 7.
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| No log | 10.0 | 160 | 7.
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| No log | 11.0 | 176 | 6.
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| No log | 12.0 | 192 | 6.
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| No log | 13.0 | 208 | 6.
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| No log | 14.0 | 224 | 6.
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| No log | 15.0 | 240 | 6.
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| No log | 16.0 | 256 | 6.
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| No log | 17.0 | 272 |
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| No log | 18.0 | 288 | 5.
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| No log | 19.0 | 304 | 5.
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| No log | 20.0 | 320 | 5.
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### Framework versions
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.9593
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 50
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- mixed_precision_training: Native AMP
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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 | 16 | 10.0173 |
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| No log | 2.0 | 32 | 9.1598 |
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| No log | 3.0 | 48 | 8.6820 |
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| No log | 4.0 | 64 | 8.3963 |
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| No log | 5.0 | 80 | 8.1259 |
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| No log | 6.0 | 96 | 7.9259 |
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| No log | 7.0 | 112 | 7.6943 |
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| No log | 8.0 | 128 | 7.4803 |
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| No log | 9.0 | 144 | 7.2883 |
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| No log | 10.0 | 160 | 7.1145 |
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| No log | 11.0 | 176 | 6.9568 |
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| No log | 12.0 | 192 | 6.8000 |
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| No log | 13.0 | 208 | 6.6515 |
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| No log | 14.0 | 224 | 6.5033 |
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| No log | 15.0 | 240 | 6.3471 |
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| No log | 16.0 | 256 | 6.2029 |
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| No log | 17.0 | 272 | 6.0583 |
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| No log | 18.0 | 288 | 5.9173 |
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| No log | 19.0 | 304 | 5.7819 |
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| No log | 20.0 | 320 | 5.6710 |
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| No log | 21.0 | 336 | 5.5588 |
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| No log | 22.0 | 352 | 5.4729 |
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| No log | 23.0 | 368 | 5.3980 |
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| No log | 24.0 | 384 | 5.3261 |
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| No log | 25.0 | 400 | 5.2801 |
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| No log | 26.0 | 416 | 5.2317 |
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| No log | 27.0 | 432 | 5.1942 |
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| No log | 28.0 | 448 | 5.1523 |
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| No log | 29.0 | 464 | 5.1235 |
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| No log | 30.0 | 480 | 5.1008 |
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| No log | 31.0 | 496 | 5.0667 |
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| No log | 32.0 | 512 | 5.0472 |
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| No log | 33.0 | 528 | 5.0252 |
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| No log | 34.0 | 544 | 5.0143 |
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| No log | 35.0 | 560 | 5.0049 |
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| No log | 36.0 | 576 | 4.9938 |
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| No log | 37.0 | 592 | 4.9827 |
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| No log | 38.0 | 608 | 4.9719 |
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| No log | 39.0 | 624 | 4.9666 |
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| No log | 40.0 | 640 | 4.9540 |
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| No log | 41.0 | 656 | 4.9549 |
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| No log | 42.0 | 672 | 4.9485 |
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| No log | 43.0 | 688 | 4.9602 |
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| No log | 44.0 | 704 | 4.9464 |
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| No log | 45.0 | 720 | 4.9592 |
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| No log | 46.0 | 736 | 4.9611 |
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| No log | 47.0 | 752 | 4.9558 |
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| No log | 48.0 | 768 | 4.9659 |
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| No log | 49.0 | 784 | 4.9739 |
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| No log | 50.0 | 800 | 4.9593 |
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### Framework versions
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