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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/Florence-2-base-ft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Florence-2-FT-JP-OCR |
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results: [] |
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datasets: |
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- EtashGuha/JapaneseDocQA |
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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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# Florence-2-FT-JP-OCR |
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This model is a fine-tuned version of [microsoft/Florence-2-base-ft](https://huggingface.co/microsoft/Florence-2-base-ft) on [EtashGuha/JapaneseDocQA](https://huggingface.co/datasets/EtashGuha/JapaneseDocQA) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5827 |
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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: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 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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| 14.3012 | 0.9662 | 100 | 3.1360 | |
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| 12.8837 | 1.9275 | 200 | 2.9369 | |
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| 12.1693 | 2.8889 | 300 | 2.7978 | |
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| 11.6903 | 3.8502 | 400 | 2.7166 | |
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| 11.3443 | 4.8116 | 500 | 2.6688 | |
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| 11.1585 | 5.7729 | 600 | 2.6340 | |
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| 10.9682 | 6.7343 | 700 | 2.6140 | |
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| 10.9556 | 7.6957 | 800 | 2.5960 | |
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| 10.7355 | 8.6570 | 900 | 2.5882 | |
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| 10.6794 | 9.6184 | 1000 | 2.5827 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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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 |
