Model save
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README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- image-classification
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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: myclass
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results: []
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# myclass
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on
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It achieves the following results on the evaluation set:
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- Loss: 0.1823
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- Accuracy: 0.9418
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| 0.3758 | 1.0 | 370 | 0.3008 | 0.9310 |
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| 0.2208 | 2.0 | 740 | 0.2306 | 0.9296 |
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| 0.1675 | 3.0 | 1110 | 0.2101 | 0.9350 |
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| 0.1388 | 4.0 | 1480 | 0.2047 | 0.9310 |
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| 0.1291 | 5.0 | 1850 | 0.2027 | 0.9350 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.1
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- Tokenizers 0.21.1
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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model-index:
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- name: myclass
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results: []
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# myclass
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Tokenizers 0.21.1
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model.safetensors
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training_args.bin
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