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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-es |
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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-v2 |
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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-v2 |
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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: 1.7424 |
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- Bleu: 7.2893 |
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- Gen Len: 88.7368 |
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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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### 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 | 2.3492 | 2.8829 | 112.5101 | |
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| No log | 2.0 | 398 | 2.0881 | 4.6067 | 91.5164 | |
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| 2.6444 | 3.0 | 597 | 1.9612 | 5.3841 | 93.9332 | |
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| 2.6444 | 4.0 | 796 | 1.8841 | 5.7548 | 90.3476 | |
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| 2.6444 | 5.0 | 995 | 1.8330 | 6.1233 | 87.9055 | |
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| 1.9708 | 6.0 | 1194 | 1.7965 | 6.7074 | 91.0063 | |
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| 1.9708 | 7.0 | 1393 | 1.7734 | 6.9091 | 89.267 | |
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| 1.8266 | 8.0 | 1592 | 1.7564 | 7.0616 | 88.6272 | |
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| 1.8266 | 9.0 | 1791 | 1.7456 | 7.1479 | 89.2531 | |
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| 1.8266 | 10.0 | 1990 | 1.7424 | 7.2893 | 88.7368 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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