rujengelal commited on
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End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ license: cc-by-nc-4.0
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  base_model: facebook/nllb-200-distilled-600M
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: my_awesome_english_to_nepali_tst
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  results: []
@@ -14,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_english_to_nepali_tst
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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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  ## Model description
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@@ -38,14 +44,18 @@ 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: 1
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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 | 125 | 2.1541 | 12.7749 | 31.255 |
 
 
 
 
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  ### Framework versions
 
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  base_model: facebook/nllb-200-distilled-600M
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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: my_awesome_english_to_nepali_tst
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  results: []
 
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  # my_awesome_english_to_nepali_tst
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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: 2.0789
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+ - Bleu: 13.3322
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+ - Gen Len: 30.295
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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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  - 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 | 125 | 2.1378 | 10.6717 | 30.905 |
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+ | No log | 2.0 | 250 | 2.1030 | 12.5862 | 31.295 |
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+ | No log | 3.0 | 375 | 2.0842 | 12.9723 | 29.675 |
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+ | 2.0989 | 4.0 | 500 | 2.0782 | 13.1558 | 30.38 |
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+ | 2.0989 | 5.0 | 625 | 2.0789 | 13.3322 | 30.295 |
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  ### Framework versions
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