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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_10
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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_10
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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: 1.1901
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- Bleu: 40.8348
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- Gen Len: 40.7269
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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: 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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 398 | 2.0113 | 22.4938 | 38.9396 |
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| 2.9232 | 2.0 | 796 | 1.6090 | 30.6633 | 39.8099 |
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| 1.7621 | 3.0 | 1194 | 1.4372 | 34.6834 | 40.3153 |
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| 1.4831 | 4.0 | 1592 | 1.3466 | 36.6566 | 40.6136 |
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| 1.4831 | 5.0 | 1990 | 1.2808 | 38.344 | 40.7986 |
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| 1.3346 | 6.0 | 2388 | 1.2338 | 39.2976 | 40.6419 |
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| 1.233 | 7.0 | 2786 | 1.2122 | 40.1246 | 40.6923 |
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| 1.1768 | 8.0 | 3184 | 1.1983 | 40.5123 | 40.7093 |
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| 1.1437 | 9.0 | 3582 | 1.1935 | 40.8092 | 40.815 |
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| 1.1437 | 10.0 | 3980 | 1.1901 | 40.8348 | 40.7269 |
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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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