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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-tc-bible-big-mul-mul |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: opus-ph-ph |
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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-ph-ph |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-bible-big-mul-mul](https://huggingface.co/Helsinki-NLP/opus-mt-tc-bible-big-mul-mul) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7528 |
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- Bleu Global: 28.4879 |
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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: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10 |
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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 Global | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:| |
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| 0.6364 | 1.0 | 1268 | 1.9412 | 25.9524 | |
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| 0.1826 | 2.0 | 2536 | 2.2076 | 25.5630 | |
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| 0.1035 | 3.0 | 3804 | 2.3956 | 28.8255 | |
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| 0.06 | 4.0 | 5072 | 2.5487 | 28.1852 | |
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| 0.0436 | 5.0 | 6340 | 2.6189 | 28.7365 | |
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| 0.0298 | 6.0 | 7608 | 2.7528 | 28.4879 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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