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hugo-albert
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nllb-200-distilled-600M-finetuned-py2cpp

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  1. README.md +9 -6
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.7577
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- - Bleu: 13.5363
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- - Gen Len: 132.1636
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  ## Model description
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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: 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 | 67 | 2.0062 | 12.2774 | 140.4545 |
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- | No log | 2.0 | 134 | 1.7577 | 13.5363 | 132.1636 |
 
 
 
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  ### Framework versions
 
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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: 1.2267
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+ - Bleu: 55.4437
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+ - Gen Len: 74.5273
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  ## Model description
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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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  ### 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 | 67 | 2.7602 | 30.0843 | 94.7818 |
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+ | No log | 2.0 | 134 | 1.8176 | 11.874 | 139.8182 |
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+ | No log | 3.0 | 201 | 1.4276 | 43.5045 | 85.8182 |
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+ | No log | 4.0 | 268 | 1.2682 | 54.7173 | 72.7273 |
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+ | No log | 5.0 | 335 | 1.2267 | 55.4437 | 74.5273 |
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  ### Framework versions
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