ychafiqui commited on
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End of training

Browse files
README.md CHANGED
@@ -8,9 +8,6 @@ metrics:
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  model-index:
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  - name: english-to-darija-2
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  results: []
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- language:
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- - ary
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- - en
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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
@@ -20,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0309
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- - Bleu: 66.9765
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- - Gen Len: 15.4554
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  ## Model description
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@@ -47,23 +44,25 @@ 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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- | 2.5337 | 1.0 | 1392 | 2.0006 | 17.4965 | 15.0162 |
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- | 1.5827 | 2.0 | 2784 | 1.5484 | 26.9067 | 14.9165 |
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- | 1.133 | 3.0 | 4176 | 1.3098 | 38.9189 | 15.0717 |
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- | 0.8616 | 4.0 | 5568 | 1.1757 | 49.8352 | 15.2675 |
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- | 0.6862 | 5.0 | 6960 | 1.1013 | 57.7662 | 15.2131 |
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- | 0.5583 | 6.0 | 8352 | 1.0651 | 62.2156 | 15.2488 |
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- | 0.4734 | 7.0 | 9744 | 1.0460 | 65.0696 | 15.3751 |
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- | 0.4122 | 8.0 | 11136 | 1.0370 | 65.317 | 15.4677 |
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- | 0.3734 | 9.0 | 12528 | 1.0326 | 66.5766 | 15.4436 |
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- | 0.3354 | 10.0 | 13920 | 1.0309 | 66.9765 | 15.4554 |
 
 
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  ### Framework versions
@@ -71,4 +70,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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  model-index:
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  - name: english-to-darija-2
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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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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8922
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+ - Bleu: 77.1567
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+ - Gen Len: 16.379
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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: 12
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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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+ | 2.0991 | 1.0 | 1525 | 1.8210 | 20.4147 | 15.6004 |
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+ | 1.3476 | 2.0 | 3050 | 1.3142 | 38.8364 | 15.808 |
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+ | 0.9515 | 3.0 | 4575 | 1.0775 | 55.6305 | 16.1504 |
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+ | 0.6951 | 4.0 | 6100 | 0.9632 | 66.9767 | 16.2509 |
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+ | 0.5589 | 5.0 | 7625 | 0.9089 | 71.1846 | 16.4062 |
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+ | 0.4546 | 6.0 | 9150 | 0.8902 | 74.3547 | 16.2483 |
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+ | 0.3671 | 7.0 | 10675 | 0.8841 | 75.4645 | 16.3627 |
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+ | 0.3085 | 8.0 | 12200 | 0.8812 | 76.2993 | 16.3739 |
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+ | 0.2668 | 9.0 | 13725 | 0.8863 | 76.6186 | 16.347 |
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+ | 0.2257 | 10.0 | 15250 | 0.8876 | 76.6218 | 16.4226 |
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+ | 0.2077 | 11.0 | 16775 | 0.8907 | 76.8682 | 16.4054 |
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+ | 0.1969 | 12.0 | 18300 | 0.8922 | 77.1567 | 16.379 |
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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