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darija-to-english

Text2Text Generation
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End of training

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  1. README.md +18 -12
  2. model.safetensors +1 -1
  3. runs/Mar06_15-58-49_3999d85c1ec1/events.out.tfevents.1709740733.3999d85c1ec1.109.7 +2 -2
  4. runs/Mar06_18-13-01_3999d85c1ec1/events.out.tfevents.1709748793.3999d85c1ec1.109.8 +3 -0
  5. runs/Mar06_18-29-16_3999d85c1ec1/events.out.tfevents.1709749763.3999d85c1ec1.109.9 +3 -0
  6. 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 [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0570
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- - Bleu: 23.5668
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- - Gen Len: 8.8618
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  ## Model description
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@@ -44,21 +44,27 @@ 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: 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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- | 0.0178 | 0.24 | 500 | 0.0630 | 18.503 | 9.3352 |
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- | 0.0165 | 0.48 | 1000 | 0.0615 | 19.3363 | 9.6601 |
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- | 0.0154 | 0.72 | 1500 | 0.0600 | 20.7491 | 9.3712 |
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- | 0.0154 | 0.96 | 2000 | 0.0587 | 22.3931 | 9.2534 |
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- | 0.0131 | 1.2 | 2500 | 0.0584 | 23.1796 | 9.3425 |
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- | 0.0128 | 1.44 | 3000 | 0.0579 | 22.4839 | 9.0177 |
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- | 0.0138 | 1.68 | 3500 | 0.0573 | 22.3119 | 9.1767 |
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- | 0.0138 | 1.92 | 4000 | 0.0570 | 23.5668 | 8.8618 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0525
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+ - Bleu: 29.8636
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+ - Gen Len: 8.8467
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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 | 0.36 | 100 | 0.0530 | 29.1142 | 8.8582 |
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+ | No log | 0.71 | 200 | 0.0530 | 28.9361 | 9.0068 |
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+ | No log | 1.07 | 300 | 0.0528 | 29.0076 | 8.6585 |
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+ | No log | 1.43 | 400 | 0.0531 | 29.1383 | 8.9458 |
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+ | 0.0229 | 1.79 | 500 | 0.0529 | 29.7316 | 8.6507 |
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+ | 0.0229 | 2.14 | 600 | 0.0529 | 30.0367 | 8.8326 |
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+ | 0.0229 | 2.5 | 700 | 0.0529 | 29.8774 | 8.8947 |
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+ | 0.0229 | 2.86 | 800 | 0.0526 | 29.4939 | 8.5792 |
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+ | 0.0229 | 3.21 | 900 | 0.0525 | 29.6445 | 8.877 |
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+ | 0.0219 | 3.57 | 1000 | 0.0525 | 29.5756 | 8.8233 |
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+ | 0.0219 | 3.93 | 1100 | 0.0525 | 29.7202 | 8.9447 |
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+ | 0.0219 | 4.29 | 1200 | 0.0526 | 29.6961 | 8.8869 |
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+ | 0.0219 | 4.64 | 1300 | 0.0526 | 29.9186 | 8.854 |
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+ | 0.0219 | 5.0 | 1400 | 0.0525 | 29.8636 | 8.8467 |
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  ### Framework versions
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