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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 +7 -7
  2. model.safetensors +1 -1
  3. runs/Dec25_15-56-18_d3d9efa2cf77/events.out.tfevents.1735142182.d3d9efa2cf77.743.5 +3 -0
  4. runs/Dec25_15-56-18_d3d9efa2cf77/events.out.tfevents.1735142386.d3d9efa2cf77.743.6 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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: 0.0
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  - Accuracy: 1.0
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  ## Model description
@@ -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 | 92 | 0.0 | 1.0 |
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- | No log | 2.0 | 184 | 0.0 | 1.0 |
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- | No log | 3.0 | 276 | 0.0 | 1.0 |
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- | No log | 4.0 | 368 | 0.0 | 1.0 |
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- | No log | 5.0 | 460 | 0.0 | 1.0 |
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- | 0.0 | 6.0 | 552 | 0.0 | 1.0 |
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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: 0.0000
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  - Accuracy: 1.0
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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 | 103 | 0.0000 | 1.0 |
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+ | No log | 2.0 | 206 | 0.0000 | 1.0 |
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+ | No log | 3.0 | 309 | 0.0000 | 1.0 |
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+ | No log | 4.0 | 412 | 0.0000 | 1.0 |
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+ | 0.0075 | 5.0 | 515 | 0.0000 | 1.0 |
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+ | 0.0075 | 6.0 | 618 | 0.0000 | 1.0 |
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  ### Framework versions
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