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update model card README.md

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  1. README.md +17 -9
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.1564
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  ## Model description
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@@ -42,19 +42,27 @@ The following hyperparameters were used during training:
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.8723 | 0.26 | 500 | 2.9644 |
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- | 3.2224 | 0.53 | 1000 | 2.5132 |
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- | 2.9924 | 0.79 | 1500 | 2.3622 |
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- | 2.842 | 1.05 | 2000 | 2.2799 |
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- | 2.7975 | 1.32 | 2500 | 2.2186 |
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- | 2.7526 | 1.58 | 3000 | 2.1765 |
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- | 2.7554 | 1.84 | 3500 | 2.1564 |
 
 
 
 
 
 
 
 
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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