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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: facebook/nougat-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: _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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# _base_nougat_logs |
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This model is a fine-tuned version of [facebook/nougat-base](https://huggingface.co/facebook/nougat-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4360 |
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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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| 2.0261 | 0.9901 | 83 | 1.9705 | |
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| 1.8445 | 1.9920 | 167 | 1.7617 | |
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| 1.6923 | 2.9940 | 251 | 1.6539 | |
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| 1.597 | 3.9960 | 335 | 1.5871 | |
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| 1.5287 | 4.9980 | 419 | 1.5196 | |
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| 1.46 | 6.0 | 503 | 1.4804 | |
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| 1.3647 | 6.9901 | 586 | 1.4360 | |
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| 1.289 | 7.9920 | 670 | 1.3772 | |
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| 1.1741 | 8.9940 | 754 | 1.2350 | |
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| 0.9947 | 9.9960 | 838 | 1.0415 | |
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| 0.7889 | 10.9980 | 922 | 0.9238 | |
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| 0.6771 | 12.0 | 1006 | 0.7884 | |
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| 0.6256 | 12.9901 | 1089 | 0.6646 | |
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| 0.5402 | 13.9920 | 1173 | 0.6095 | |
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| 0.5252 | 14.9940 | 1257 | 0.5702 | |
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| 0.441 | 15.9960 | 1341 | 0.5282 | |
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| 0.4077 | 16.9980 | 1425 | 0.5030 | |
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| 0.3841 | 18.0 | 1509 | 0.4855 | |
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| 0.3762 | 18.9901 | 1592 | 0.4703 | |
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| 0.3611 | 19.9920 | 1676 | 0.4587 | |
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| 0.3486 | 20.9940 | 1760 | 0.4486 | |
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| 0.3679 | 21.9960 | 1844 | 0.4416 | |
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| 0.3356 | 22.9980 | 1928 | 0.4400 | |
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| 0.3343 | 24.0 | 2012 | 0.4387 | |
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| 0.3229 | 24.9901 | 2095 | 0.4410 | |
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| 0.2928 | 25.9920 | 2179 | 0.4377 | |
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| 0.3042 | 26.9940 | 2263 | 0.4393 | |
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| 0.3439 | 27.9960 | 2347 | 0.4353 | |
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| 0.3286 | 28.9980 | 2431 | 0.4365 | |
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| 0.353 | 29.7018 | 2490 | 0.4360 | |
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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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