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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: bustamiyusoef/_nougat_JawiChar_Jawi |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: _nougat_JawiCharJawi_AHR |
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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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# _nougat_JawiCharJawi_AHR |
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This model is a fine-tuned version of [bustamiyusoef/_nougat_JawiChar_Jawi](https://huggingface.co/bustamiyusoef/_nougat_JawiChar_Jawi) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9923 |
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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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| No log | 1.0 | 9 | 2.3985 | |
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| 15.1378 | 2.0 | 18 | 2.2738 | |
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| 13.1108 | 3.0 | 27 | 2.2290 | |
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| 12.6153 | 4.0 | 36 | 2.1573 | |
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| 12.2237 | 5.0 | 45 | 2.1169 | |
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| 11.8336 | 6.0 | 54 | 2.0919 | |
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| 11.5763 | 7.0 | 63 | 2.0773 | |
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| 11.3269 | 8.0 | 72 | 2.0492 | |
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| 11.1202 | 9.0 | 81 | 2.0450 | |
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| 10.2585 | 10.0 | 90 | 2.0421 | |
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| 10.2585 | 11.0 | 99 | 2.0222 | |
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| 10.864 | 12.0 | 108 | 2.0165 | |
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| 10.7603 | 13.0 | 117 | 2.0047 | |
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| 10.6177 | 14.0 | 126 | 2.0067 | |
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| 10.5024 | 15.0 | 135 | 2.0107 | |
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| 10.3865 | 16.0 | 144 | 2.0011 | |
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| 10.3026 | 17.0 | 153 | 1.9990 | |
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| 10.2636 | 18.0 | 162 | 1.9944 | |
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| 10.2232 | 19.0 | 171 | 1.9910 | |
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| 9.356 | 20.0 | 180 | 1.9946 | |
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| 9.356 | 21.0 | 189 | 1.9937 | |
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| 10.1019 | 22.0 | 198 | 1.9923 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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