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--- |
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library_name: transformers |
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license: gpl-3.0 |
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base_model: MohamedRashad/arabic-base-nougat |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: _Arabic_base_nougat_logs |
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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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# _Arabic_base_nougat_logs |
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This model is a fine-tuned version of [MohamedRashad/arabic-base-nougat](https://huggingface.co/MohamedRashad/arabic-base-nougat) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1325 |
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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: 0.0001 |
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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: 6 |
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- total_train_batch_size: 48 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2205 | 0.996 | 83 | 0.1900 | |
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| 0.1605 | 1.992 | 166 | 0.1587 | |
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| 0.1008 | 3.0 | 250 | 0.1422 | |
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| 0.1061 | 3.996 | 333 | 0.1317 | |
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| 0.0946 | 4.992 | 416 | 0.1296 | |
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| 0.0619 | 6.0 | 500 | 0.1262 | |
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| 0.0606 | 6.996 | 583 | 0.1279 | |
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| 0.0543 | 7.992 | 666 | 0.1287 | |
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| 0.036 | 9.0 | 750 | 0.1325 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
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