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--- |
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library_name: transformers |
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base_model: openai/clip-vit-large-patch14-336 |
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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: clip-vit-large-patch14-336-finetuned-openai-clip-vit-large-patch14-336-mnist |
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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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# clip-vit-large-patch14-336-finetuned-openai-clip-vit-large-patch14-336-mnist |
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This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0173 |
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- Accuracy: 0.9945 |
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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-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.4739 | 1.0 | 422 | 0.1506 | 0.9578 | |
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| 0.4608 | 2.0 | 844 | 0.0464 | 0.9857 | |
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| 0.3125 | 3.0 | 1266 | 0.0406 | 0.9878 | |
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| 0.3281 | 4.0 | 1688 | 0.0328 | 0.9895 | |
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| 0.3068 | 5.0 | 2110 | 0.0230 | 0.9933 | |
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| 0.3187 | 6.0 | 2532 | 0.0254 | 0.9918 | |
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| 0.2928 | 7.0 | 2954 | 0.0286 | 0.99 | |
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| 0.2336 | 8.0 | 3376 | 0.0296 | 0.9908 | |
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| 0.2472 | 9.0 | 3798 | 0.0217 | 0.994 | |
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| 0.2356 | 10.0 | 4220 | 0.0173 | 0.9945 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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