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End of training

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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7558
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- - Bleu: 12.2835
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- - Gen Len: 44.0
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  ## Model description
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@@ -44,23 +44,15 @@ The following hyperparameters were used during training:
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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 | 13 | 1.9988 | 0.6722 | 37.35 |
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- | No log | 2.0 | 26 | 1.8930 | 0.7123 | 37.55 |
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- | No log | 3.0 | 39 | 1.8316 | 12.8352 | 36.55 |
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- | No log | 4.0 | 52 | 1.7920 | 17.2952 | 36.3 |
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- | No log | 5.0 | 65 | 1.7743 | 16.9058 | 36.8 |
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- | No log | 6.0 | 78 | 1.7652 | 17.4576 | 36.15 |
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- | No log | 7.0 | 91 | 1.7601 | 11.2528 | 44.4 |
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- | No log | 8.0 | 104 | 1.7578 | 12.2835 | 44.0 |
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- | No log | 9.0 | 117 | 1.7556 | 12.2835 | 44.0 |
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- | No log | 10.0 | 130 | 1.7558 | 12.2835 | 44.0 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8846
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+ - Bleu: 17.7229
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+ - Gen Len: 32.719
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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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  - 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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+ | 2.1397 | 1.0 | 625 | 1.9092 | 17.03 | 33.143 |
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+ | 1.956 | 2.0 | 1250 | 1.8846 | 17.7229 | 32.719 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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