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--- |
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license: cc-by-nc-4.0 |
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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: hi_do_epoch_5 |
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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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# hi_do_epoch_5 |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4675 |
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- Bleu: 34.8763 |
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- Gen Len: 40.6362 |
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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: 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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- 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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| No log | 1.0 | 398 | 2.0556 | 22.5137 | 39.5758 | |
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| 2.9556 | 2.0 | 796 | 1.6863 | 30.1421 | 39.9786 | |
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| 1.8135 | 3.0 | 1194 | 1.5487 | 32.8717 | 40.1963 | |
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| 1.5932 | 4.0 | 1592 | 1.4839 | 34.2659 | 40.5695 | |
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| 1.5932 | 5.0 | 1990 | 1.4675 | 34.8763 | 40.6362 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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