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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-maz
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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-maz
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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: 1.6048
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- Bleu: 4.3691
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- Gen Len: 90.628
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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 | 197 | 2.2612 | 1.6643 | 112.3057 |
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| No log | 2.0 | 394 | 1.9432 | 2.2102 | 95.5885 |
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| 2.5492 | 3.0 | 591 | 1.8172 | 2.8502 | 95.6293 |
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| 2.5492 | 4.0 | 788 | 1.7422 | 3.156 | 92.9006 |
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| 2.5492 | 5.0 | 985 | 1.6962 | 3.2496 | 91.9032 |
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| 1.8541 | 6.0 | 1182 | 1.6573 | 3.6696 | 91.0064 |
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| 1.8541 | 7.0 | 1379 | 1.6345 | 3.8424 | 90.5987 |
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| 1.7136 | 8.0 | 1576 | 1.6158 | 4.0247 | 91.6229 |
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| 1.7136 | 9.0 | 1773 | 1.6077 | 4.2614 | 89.265 |
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| 1.7136 | 10.0 | 1970 | 1.6048 | 4.3691 | 90.628 |
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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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