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opus-mt-ru-en-finetuned

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update model card README.md

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@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0396
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- - Bleu: 43.4662
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- - Gen Len: 26.1749
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 49
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  - eval_batch_size: 24
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
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- | 0.7849 | 1.0 | 35147 | 1.0571 | 42.596 | 26.1388 |
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- | 0.7868 | 2.0 | 70294 | 1.0529 | 42.8209 | 26.1962 |
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- | 0.7815 | 3.0 | 105441 | 1.0493 | 43.0675 | 26.1079 |
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- | 0.7835 | 4.0 | 140588 | 1.0474 | 42.9025 | 26.1529 |
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- | 0.7859 | 5.0 | 175735 | 1.0473 | 43.2471 | 26.1164 |
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- | 0.7935 | 6.0 | 210882 | 1.0453 | 43.2605 | 26.1132 |
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- | 0.8058 | 7.0 | 246029 | 1.0443 | 43.1831 | 26.1057 |
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- | 0.8118 | 8.0 | 281176 | 1.0419 | 43.432 | 26.127 |
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- | 0.8223 | 9.0 | 316323 | 1.0405 | 43.4938 | 26.181 |
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- | 0.8462 | 10.0 | 351470 | 1.0396 | 43.4662 | 26.1749 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0379
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+ - Bleu: 43.3073
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+ - Gen Len: 26.1682
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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  - train_batch_size: 49
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  - eval_batch_size: 24
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
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+ | 0.8428 | 1.0 | 35147 | 1.0405 | 43.2785 | 26.1278 |
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+ | 0.8485 | 2.0 | 70294 | 1.0383 | 43.3787 | 26.1725 |
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+ | 0.8474 | 3.0 | 105441 | 1.0380 | 43.4092 | 26.1561 |
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+ | 0.8373 | 4.0 | 140588 | 1.0379 | 43.3883 | 26.1952 |
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+ | 0.8299 | 5.0 | 175735 | 1.0379 | 43.3073 | 26.1682 |
 
 
 
 
 
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  ### Framework versions