| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Helsinki-NLP/opus-mt-es-es |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: 20_6kmslsamples |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 20_6kmslsamples |
| |
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.4897 |
| - eval_model_preparation_time: 0.0034 |
| - eval_bleu_msl: 82.5890 |
| - eval_bleu_asl: 0 |
| - eval_ter_msl: 10.2984 |
| - eval_ter_asl: 100 |
| - eval_runtime: 6.4721 |
| - eval_samples_per_second: 45.58 |
| - eval_steps_per_second: 0.773 |
| - step: 0 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 30 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
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|
