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update model card README.md
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README.md
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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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