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smerchi
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question_classification

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jan13_09-51-14_b87f5f3edb15/events.out.tfevents.1736761879.b87f5f3edb15.167.0 +3 -0
  4. runs/Jan13_09-51-14_b87f5f3edb15/events.out.tfevents.1736762165.b87f5f3edb15.167.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0124
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- - Accuracy: 0.9980
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  ## Model description
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@@ -49,12 +49,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 246 | 0.0347 | 0.9878 |
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- | No log | 2.0 | 492 | 0.0305 | 0.9939 |
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- | 0.0995 | 3.0 | 738 | 0.0414 | 0.9939 |
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- | 0.0995 | 4.0 | 984 | 0.0274 | 0.9939 |
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- | 0.0052 | 5.0 | 1230 | 0.0124 | 0.9980 |
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- | 0.0052 | 6.0 | 1476 | 0.0125 | 0.9980 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0355
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+ - Accuracy: 0.9923
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 261 | 0.0661 | 0.9847 |
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+ | 0.0918 | 2.0 | 522 | 0.0355 | 0.9923 |
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+ | 0.0918 | 3.0 | 783 | 0.0858 | 0.9904 |
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+ | 0.0035 | 4.0 | 1044 | 0.0896 | 0.9904 |
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+ | 0.0035 | 5.0 | 1305 | 0.0896 | 0.9904 |
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+ | 0.0007 | 6.0 | 1566 | 0.0902 | 0.9904 |
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  ### Framework versions
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