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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-OCR3 |
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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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# Florence-2-FT-JP-OCR3 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7551 |
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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-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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 14.8441 | 0.5563 | 100 | 3.2737 | |
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| 14.1581 | 1.1168 | 200 | 3.1344 | |
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| 13.4486 | 1.6732 | 300 | 3.0362 | |
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| 13.287 | 2.2337 | 400 | 2.9634 | |
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| 12.9018 | 2.7900 | 500 | 2.9081 | |
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| 12.6016 | 3.3505 | 600 | 2.8683 | |
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| 12.5607 | 3.9068 | 700 | 2.8310 | |
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| 12.4259 | 4.4673 | 800 | 2.8060 | |
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| 12.2114 | 5.0278 | 900 | 2.7858 | |
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| 12.1777 | 5.5841 | 1000 | 2.7680 | |
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| 12.01 | 6.1446 | 1100 | 2.7604 | |
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| 12.0395 | 6.7010 | 1200 | 2.7551 | |
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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 |
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