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Model save

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  1. README.md +6 -7
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1921
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  ## Model description
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@@ -44,18 +44,17 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.06
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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 |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.2559 | 1.0 | 3001 | 0.2605 |
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- | 0.1806 | 2.0 | 6002 | 0.2156 |
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- | 0.1227 | 3.0 | 9003 | 0.1999 |
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- | 0.0812 | 4.0 | 12004 | 0.1916 |
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- | 0.0503 | 5.0 | 15005 | 0.1921 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1909
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.06
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+ - num_epochs: 4
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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 |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.2521 | 1.0 | 3001 | 0.2594 |
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+ | 0.1747 | 2.0 | 6002 | 0.2115 |
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+ | 0.1156 | 3.0 | 9003 | 0.1953 |
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+ | 0.0747 | 4.0 | 12004 | 0.1909 |
 
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  ### Framework versions