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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: omarxadel/hubert-large-arabic-egyptian |
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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: hubert_mosa |
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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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# hubert_mosa |
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This model is a fine-tuned version of [omarxadel/hubert-large-arabic-egyptian](https://huggingface.co/omarxadel/hubert-large-arabic-egyptian) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7918 |
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- Accuracy: 0.6304 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 5 |
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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 | 104 | 1.0925 | 0.3207 | |
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| No log | 2.0 | 208 | 0.8980 | 0.5652 | |
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| No log | 3.0 | 312 | 0.8091 | 0.6196 | |
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| No log | 4.0 | 416 | 0.7918 | 0.6304 | |
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| 0.9267 | 4.9565 | 515 | 0.7845 | 0.625 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.5.1 |
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- Datasets 3.1.1.dev0 |
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- Tokenizers 0.20.3 |
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