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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-pbb-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-pbb-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: 1.6535 |
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- Bleu: 1.2729 |
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- Gen Len: 90.5316 |
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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 | 2.3626 | 0.171 | 109.5972 | |
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| No log | 2.0 | 398 | 2.0302 | 0.3065 | 95.3081 | |
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| 2.712 | 3.0 | 597 | 1.8861 | 0.7019 | 96.8497 | |
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| 2.712 | 4.0 | 796 | 1.8081 | 0.6924 | 93.4432 | |
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| 2.712 | 5.0 | 995 | 1.7496 | 0.9599 | 90.7563 | |
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| 1.942 | 6.0 | 1194 | 1.7133 | 1.0843 | 92.4646 | |
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| 1.942 | 7.0 | 1393 | 1.6859 | 1.1072 | 92.8725 | |
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| 1.7861 | 8.0 | 1592 | 1.6696 | 1.243 | 91.2184 | |
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| 1.7861 | 9.0 | 1791 | 1.6569 | 1.2595 | 90.1641 | |
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| 1.7861 | 10.0 | 1990 | 1.6535 | 1.2729 | 90.5316 | |
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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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