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-in21k
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tags:
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- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-beans
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
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It achieves the following results on the evaluation set:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.2838 | 1.0 | 130 | 0.
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| 0.1324 | 2.0 | 260 | 0.
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| 0.143 | 3.0 | 390 | 0.
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| 0.0833 | 4.0 | 520 | 0.
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| 0.1099 | 5.0 | 650 | 0.
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### Framework versions
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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# vit-base-beans
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9774
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- Loss: 0.0824
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 0.2838 | 1.0 | 130 | 0.9624 | 0.2169 |
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| 0.1324 | 2.0 | 260 | 0.9699 | 0.1346 |
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| 0.143 | 3.0 | 390 | 0.9699 | 0.0998 |
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| 0.0833 | 4.0 | 520 | 0.9925 | 0.0650 |
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| 0.1099 | 5.0 | 650 | 0.9774 | 0.0824 |
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### Framework versions
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config.json
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.43.0.dev0"
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.43.0.dev0"
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runs/Jul06_18-18-58_d9568e0fc9ba/events.out.tfevents.1720289950.d9568e0fc9ba.10921.0
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training_args.bin
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