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--- |
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base_model: SI2M-Lab/DarijaBERT |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: darija_test |
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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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should probably proofread and complete it, then remove this comment. --> |
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# darija_test |
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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: 0.6520 |
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- Accuracy: 0.7041 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.05 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.813 | 1.0 | 169 | 0.7390 | 0.2959 | |
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| 0.9437 | 2.0 | 338 | 0.6520 | 0.7041 | |
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| 0.759 | 3.0 | 507 | 0.6080 | 0.7041 | |
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| 0.7936 | 4.0 | 676 | 0.6582 | 0.7041 | |
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| 0.8051 | 5.0 | 845 | 0.6452 | 0.7041 | |
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| 0.7397 | 6.0 | 1014 | 0.6422 | 0.7041 | |
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| 0.5792 | 7.0 | 1183 | 0.6132 | 0.7041 | |
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| 0.5339 | 8.0 | 1352 | 0.6095 | 0.7041 | |
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| 0.5152 | 9.0 | 1521 | 0.6136 | 0.7041 | |
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| 0.4909 | 10.0 | 1690 | 0.6181 | 0.7041 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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