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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_test4 |
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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_test4 |
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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: 0.2337 |
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- Accuracy: 0.9402 |
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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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| 0.691 | 1.0 | 209 | 0.6551 | 0.6388 | |
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| 0.48 | 2.0 | 418 | 0.5391 | 0.8086 | |
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| 0.7983 | 3.0 | 627 | 0.6059 | 0.7105 | |
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| 0.7509 | 4.0 | 836 | 0.5645 | 0.7201 | |
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| 0.6031 | 5.0 | 1045 | 0.5616 | 0.7249 | |
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| 0.4155 | 6.0 | 1254 | 0.5425 | 0.8062 | |
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| 0.5307 | 7.0 | 1463 | 0.5160 | 0.7943 | |
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| 0.4064 | 8.0 | 1672 | 0.4301 | 0.8469 | |
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| 0.3983 | 9.0 | 1881 | 0.3789 | 0.8971 | |
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| 0.4016 | 10.0 | 2090 | 0.2337 | 0.9402 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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