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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-mul-en |
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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: en_to_dzo_helsinki_mul_mt_nlp_m4 |
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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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# en_to_dzo_helsinki_mul_mt_nlp_m4 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0005 |
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- Bleu: 7.6407 |
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- Gen Len: 45.3393 |
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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: 5e-05 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 1.2015 | 1.0 | 562 | 1.1373 | 4.1298 | 43.9209 | |
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| 1.1012 | 2.0 | 1124 | 1.0725 | 3.8796 | 46.5185 | |
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| 1.0195 | 3.0 | 1686 | 1.0360 | 3.3934 | 45.3944 | |
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| 0.9609 | 4.0 | 2248 | 1.0045 | 7.1881 | 45.7678 | |
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| 0.9163 | 5.0 | 2810 | 1.0005 | 7.6407 | 45.3393 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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