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README.md
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---
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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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model-index:
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- name: opus-mt-en-es-finetuned-es-to-maq
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# opus-mt-en-es-finetuned-es-to-maq
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7414
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- Bleu: 6.663
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- Gen Len: 94.437
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- mixed_precision_training: Native AMP
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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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| No log | 1.0 | 199 | 2.3505 | 2.7386 | 127.0327 |
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| No log | 2.0 | 398 | 2.0862 | 4.4403 | 97.3489 |
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| 2.643 | 3.0 | 597 | 1.9576 | 5.2104 | 98.7116 |
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| 2.643 | 4.0 | 796 | 1.8831 | 5.4016 | 98.4962 |
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| 2.643 | 5.0 | 995 | 1.8320 | 5.6026 | 96.1826 |
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| 1.9678 | 6.0 | 1194 | 1.7944 | 6.374 | 95.1398 |
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| 1.9678 | 7.0 | 1393 | 1.7726 | 6.514 | 94.83 |
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| 1.8281 | 8.0 | 1592 | 1.7551 | 6.7802 | 95.194 |
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| 1.8281 | 9.0 | 1791 | 1.7451 | 6.7625 | 94.2091 |
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| 1.8281 | 10.0 | 1990 | 1.7414 | 6.663 | 94.437 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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