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--- |
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base_model: openai/clip-vit-base-patch32 |
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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-base-patch32-finetuned-eurosat |
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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-base-patch32-finetuned-eurosat |
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0987 |
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- Accuracy: 0.9716 |
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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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| 0.4295 | 0.9979 | 351 | 0.2629 | 0.915 | |
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| 0.4167 | 1.9986 | 703 | 0.2365 | 0.9222 | |
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| 0.4104 | 2.9993 | 1055 | 0.2205 | 0.9252 | |
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| 0.3847 | 4.0 | 1407 | 0.1917 | 0.9338 | |
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| 0.3928 | 4.9979 | 1758 | 0.1803 | 0.9414 | |
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| 0.311 | 5.9986 | 2110 | 0.1429 | 0.9524 | |
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| 0.2614 | 6.9993 | 2462 | 0.1137 | 0.961 | |
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| 0.2579 | 8.0 | 2814 | 0.1102 | 0.9638 | |
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| 0.1993 | 8.9979 | 3165 | 0.1037 | 0.9688 | |
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| 0.1921 | 9.9787 | 3510 | 0.0987 | 0.9716 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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