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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-es-en |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Model-es-qu |
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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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# Model-es-qu |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- BLEU: 15.47193377563526 |
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- chrF: 49.809088254243925 |
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- Loss: 0.2958 |
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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: 0.00014023977100100803 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 16 |
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- num_epochs: 6 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3983 | 1.0 | 6422 | 0.3643 | |
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| 0.3285 | 2.0 | 12844 | 0.3257 | |
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| 0.2908 | 3.0 | 19266 | 0.3065 | |
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| 0.2537 | 4.0 | 25688 | 0.2981 | |
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| 0.2203 | 5.0 | 32110 | 0.2943 | |
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| 0.1969 | 6.0 | 38532 | 0.2958 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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