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README.md
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) 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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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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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: linear
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- num_epochs: 4
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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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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### Framework versions
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0425
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- Rouge1: 0.0824
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- Rouge2: 0.011
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- Rougel: 0.0721
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- Rougelsum: 0.0721
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- Gen Len: 18.2575
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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: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 4.199 | 1.0 | 1600 | 3.1896 | 0.0865 | 0.0116 | 0.0746 | 0.0746 | 18.06 |
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| 3.8499 | 2.0 | 3200 | 3.1142 | 0.0905 | 0.0109 | 0.0773 | 0.0774 | 18.1925 |
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| 3.6877 | 3.0 | 4800 | 3.0694 | 0.083 | 0.0113 | 0.0719 | 0.0719 | 18.44 |
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| 3.571 | 4.0 | 6400 | 3.0425 | 0.0824 | 0.011 | 0.0721 | 0.0721 | 18.2575 |
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### Framework versions
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