update model card README.md
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README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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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
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| 6.5215 | 2.11 | 1000
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| 5.9958 | 4.22 | 2000
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| 5.9066 | 6.33 | 3000
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| 5.8449 | 8.44 | 4000
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| 5.7913 | 10.55 | 5000
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| 5.7418 | 12.66 | 6000
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| 5.6901 | 14.77 | 7000
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| 5.6485 | 16.88 | 8000
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| 5.6238 | 18.99 | 9000
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.8028
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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: 35
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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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| 6.5215 | 2.11 | 1000 | 6.1057 |
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| 5.9958 | 4.22 | 2000 | 6.0199 |
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| 5.9066 | 6.33 | 3000 | 5.9833 |
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| 5.8449 | 8.44 | 4000 | 5.9594 |
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| 5.7913 | 10.55 | 5000 | 5.9176 |
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| 5.7418 | 12.66 | 6000 | 5.8949 |
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| 5.6901 | 14.77 | 7000 | 5.8753 |
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| 5.6485 | 16.88 | 8000 | 5.8592 |
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| 5.6238 | 18.99 | 9000 | 5.8509 |
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| 5.6704 | 21.1 | 10000 | 5.8856 |
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| 5.6375 | 23.21 | 11000 | 5.8703 |
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| 5.6039 | 25.32 | 12000 | 5.8635 |
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| 5.5756 | 27.43 | 13000 | 5.8533 |
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| 5.5437 | 29.54 | 14000 | 5.8408 |
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| 5.5189 | 31.65 | 15000 | 5.8154 |
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| 5.4982 | 33.76 | 16000 | 5.8028 |
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### Framework versions
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