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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: esp-to-lsm-model-split
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  results: []
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 7.7757
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- - eval_bleu: 2.0463
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- - eval_ter: 88.8476
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- - eval_rouge1: 0.4704
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- - eval_rouge2: 0.0841
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- - eval_runtime: 4.9306
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- - eval_samples_per_second: 60.845
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- - eval_steps_per_second: 2.028
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- - step: 0
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  ## Model description
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.1
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - bleu
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+ - rouge
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  model-index:
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  - name: esp-to-lsm-model-split
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  results: []
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5258
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+ - Bleu: 83.8782
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+ - Ter: 10.6805
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+ - Rouge1: 0.9238
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+ - Rouge2: 0.8539
 
 
 
 
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  ## Model description
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Rouge1 | Rouge2 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:------:|
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+ | 1.0312 | 1.0 | 75 | 0.6799 | 70.9487 | 17.7958 | 0.8736 | 0.7858 |
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+ | 0.4186 | 2.0 | 150 | 0.4926 | 50.7542 | 12.2855 | 0.9190 | 0.8516 |
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+ | 0.2945 | 3.0 | 225 | 0.4174 | 72.8458 | 17.0732 | 0.9290 | 0.8649 |
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+ | 0.1752 | 4.0 | 300 | 0.4505 | 81.4327 | 10.3884 | 0.9254 | 0.8485 |
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+ | 0.1483 | 5.0 | 375 | 0.4863 | 39.1763 | 10.7498 | 0.9139 | 0.8411 |
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+ | 0.1049 | 6.0 | 450 | 0.4795 | 81.2675 | 10.0271 | 0.9250 | 0.8572 |
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+ | 0.0808 | 7.0 | 525 | 0.4824 | 80.2681 | 11.9241 | 0.9145 | 0.8251 |
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+ | 0.0723 | 8.0 | 600 | 0.4388 | 83.9041 | 11.0208 | 0.9308 | 0.8690 |
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+ | 0.0652 | 9.0 | 675 | 0.4277 | 85.0942 | 9.3948 | 0.9306 | 0.8718 |
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+ | 0.0469 | 10.0 | 750 | 0.4310 | 84.8003 | 9.2141 | 0.9337 | 0.8766 |
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+ | 0.043 | 11.0 | 825 | 0.4471 | 84.1771 | 9.9368 | 0.9297 | 0.8669 |
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+ | 0.0278 | 12.0 | 900 | 0.4326 | 86.4289 | 8.5818 | 0.9404 | 0.8829 |
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+ | 0.0258 | 13.0 | 975 | 0.4369 | 85.7966 | 8.7624 | 0.9363 | 0.8772 |
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+ | 0.0258 | 14.0 | 1050 | 0.4296 | 86.5295 | 8.4914 | 0.9393 | 0.8856 |
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+ | 0.0216 | 15.0 | 1125 | 0.4379 | 78.3156 | 14.7245 | 0.9321 | 0.8710 |
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+ | 0.0132 | 16.0 | 1200 | 0.4400 | 87.1342 | 8.0397 | 0.9392 | 0.8839 |
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+ | 0.0129 | 17.0 | 1275 | 0.4438 | 86.9282 | 8.1301 | 0.9383 | 0.8831 |
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+ | 0.0109 | 18.0 | 1350 | 0.4445 | 86.7807 | 8.4914 | 0.9372 | 0.8813 |
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+ | 0.0109 | 19.0 | 1425 | 0.4455 | 86.7006 | 8.4914 | 0.9371 | 0.8808 |
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+ | 0.014 | 20.0 | 1500 | 0.4472 | 86.8515 | 8.3107 | 0.9378 | 0.882 |
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  ### Framework versions
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  - Transformers 4.26.1