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--- |
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library_name: transformers |
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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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model-index: |
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- name: offres_classification_bert_v1 |
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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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# offres_classification_bert_v1 |
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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: 0.0010 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 135 | 0.0265 | |
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| No log | 2.0 | 270 | 0.0045 | |
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| No log | 3.0 | 405 | 0.0063 | |
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| 0.1371 | 4.0 | 540 | 0.0023 | |
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| 0.1371 | 5.0 | 675 | 0.0030 | |
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| 0.1371 | 6.0 | 810 | 0.0020 | |
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| 0.1371 | 7.0 | 945 | 0.0013 | |
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| 0.0009 | 8.0 | 1080 | 0.0011 | |
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| 0.0009 | 9.0 | 1215 | 0.0010 | |
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| 0.0009 | 10.0 | 1350 | 0.0010 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 2.21.0 |
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- Tokenizers 0.21.0 |
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