Model save
Browse files- README.md +0 -14
- config.json +0 -1
- model.safetensors +1 -1
- runs/Jun27_01-42-40_9f60cf645673/events.out.tfevents.1750988562.9f60cf645673.1005.0 +3 -0
- training_args.bin +1 -1
README.md
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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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model-index:
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- name: vit_food50000
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results: []
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# vit_food50000
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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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- Loss: 0.4895
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- Accuracy: 0.921
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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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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| 1.2448 | 1.0 | 250 | 1.1607 | 0.889 |
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| 0.6539 | 2.0 | 500 | 0.6144 | 0.913 |
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| 0.3946 | 3.0 | 750 | 0.4895 | 0.921 |
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### Framework versions
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- Transformers 4.52.4
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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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model-index:
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- name: vit_food50000
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results: []
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# vit_food50000
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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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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Framework versions
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- Transformers 4.52.4
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config.json
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"patch_size": 16,
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"pooler_act": "tanh",
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"pooler_output_size": 768,
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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": "4.52.4"
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"patch_size": 16,
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"pooler_act": "tanh",
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"pooler_output_size": 768,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.52.4"
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model.safetensors
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runs/Jun27_01-42-40_9f60cf645673/events.out.tfevents.1750988562.9f60cf645673.1005.0
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training_args.bin
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