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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rouge1:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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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:
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 5.
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| 1.
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| 0.6211 | 4.0 | 668 | 0.3797 | 70.1541 | 46.2974 | 59.4121 | 70.1327 |
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| 0.5504 | 5.0 | 835 | 0.3512 | 71.7164 | 48.3026 | 60.9741 | 71.703 |
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5912
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- Rouge1: 56.6081
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- Rouge2: 31.7858
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- Rougel: 48.4959
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- Rougelsum: 56.6806
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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: 3
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 5.3993 | 1.0 | 188 | 1.4868 | 23.2843 | 6.9787 | 22.46 | 23.2664 |
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| 1.2384 | 2.0 | 376 | 0.7450 | 47.5051 | 23.5773 | 42.2383 | 47.5388 |
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| 0.8417 | 3.0 | 564 | 0.5912 | 56.6081 | 31.7858 | 48.4959 | 56.6806 |
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### Framework versions
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