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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- translation |
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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: multiun |
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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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# multiun |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the Helsinki-NLP/multiun dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0111 |
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- Bleu: 48.9323 |
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- Gen Len: 31.9584 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 2 |
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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 | 469 | 1.1402 | 44.7592 | 31.1336 | |
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| 3.1839 | 2.0 | 938 | 1.0111 | 48.9323 | 31.9584 | |
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### Framework versions |
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- Transformers 4.50.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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