Model save
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- model.safetensors +1 -1
- runs/Jan13_10-39-16_9ef1d72730d7/events.out.tfevents.1736764759.9ef1d72730d7.805.0 +3 -0
- runs/Jan13_10-39-16_9ef1d72730d7/events.out.tfevents.1736765030.9ef1d72730d7.805.1 +3 -0
- runs/Jan13_10-43-52_9ef1d72730d7/events.out.tfevents.1736765034.9ef1d72730d7.805.2 +3 -0
- training_args.bin +1 -1
README.md
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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.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 264 | 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: 0.0856
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- Accuracy: 0.9924
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 264 | 0.0688 | 0.9905 |
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| 0.0366 | 2.0 | 528 | 0.0684 | 0.9924 |
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| 0.0366 | 3.0 | 792 | 0.0770 | 0.9924 |
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| 0.0 | 4.0 | 1056 | 0.0806 | 0.9924 |
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| 0.0 | 5.0 | 1320 | 0.0829 | 0.9924 |
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| 0.0 | 6.0 | 1584 | 0.0844 | 0.9924 |
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| 0.0 | 7.0 | 1848 | 0.0852 | 0.9924 |
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| 0.0 | 8.0 | 2112 | 0.0856 | 0.9924 |
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### Framework versions
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model.safetensors
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