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--- |
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library_name: transformers |
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base_model: OFA-Sys/chinese-clip-vit-base-patch16 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: sentance_split_by_aoi_ocr_None_2 |
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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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# sentance_split_by_aoi_ocr_None_2 |
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This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4765 |
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- Accuracy: 0.1927 |
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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: 1e-05 |
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- train_batch_size: 25 |
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- eval_batch_size: 20 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 200 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 60.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 1.2383 | 5.9676 | 276 | 2.6388 | 0.2417 | |
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| 0.9769 | 11.9351 | 552 | 2.8174 | 0.2247 | |
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| 0.8157 | 17.9027 | 828 | 3.1486 | 0.2148 | |
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| 0.7322 | 23.8703 | 1104 | 3.3020 | 0.2080 | |
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| 0.6777 | 29.8378 | 1380 | 3.3933 | 0.2026 | |
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| 0.6466 | 35.8054 | 1656 | 3.4180 | 0.1995 | |
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| 0.6273 | 41.7730 | 1932 | 3.4385 | 0.1971 | |
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| 0.6188 | 47.7405 | 2208 | 3.4671 | 0.1953 | |
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| 0.6051 | 53.7081 | 2484 | 3.4631 | 0.1944 | |
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| 0.6049 | 59.6757 | 2760 | 3.4765 | 0.1935 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.20.0 |
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