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update model card README.md
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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 an unknown 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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9387
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.8424 | 0.26 | 500 | 2.9765 |
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| 3.2655 | 0.53 | 1000 | 2.5221 |
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| 2.9425 | 0.79 | 1500 | 2.3160 |
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| 2.7533 | 1.05 | 2000 | 2.2170 |
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| 2.7147 | 1.32 | 2500 | 2.1432 |
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| 2.6331 | 1.58 | 3000 | 2.0872 |
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| 2.5863 | 1.84 | 3500 | 2.0526 |
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| 2.492 | 2.11 | 4000 | 2.0274 |
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| 2.4757 | 2.37 | 4500 | 1.9948 |
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| 2.4423 | 2.63 | 5000 | 1.9855 |
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| 2.4339 | 2.9 | 5500 | 1.9645 |
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| 2.3955 | 3.16 | 6000 | 1.9530 |
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| 2.372 | 3.42 | 6500 | 1.9454 |
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| 2.3661 | 3.69 | 7000 | 1.9410 |
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| 2.3553 | 3.95 | 7500 | 1.9387 |
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### Framework versions
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