Model save
Browse files- README.md +31 -0
- logs/events.out.tfevents.1740248525.2fc0677913f2.828.1 +2 -2
- model.safetensors +1 -1
README.md
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base_model: microsoft/beit-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: beit-base-patch16-224_rice-leaf-disease-augmented-v2_tl
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results: []
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# beit-base-patch16-224_rice-leaf-disease-augmented-v2_tl
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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## Model description
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.48.3
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base_model: microsoft/beit-base-patch16-224
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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: beit-base-patch16-224_rice-leaf-disease-augmented-v2_tl
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results: []
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# beit-base-patch16-224_rice-leaf-disease-augmented-v2_tl
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4947
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- Accuracy: 0.8512
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## Model description
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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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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| 2.0747 | 1.0 | 63 | 1.7043 | 0.4435 |
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| 1.3282 | 2.0 | 126 | 1.0444 | 0.6845 |
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| 0.8626 | 3.0 | 189 | 0.7962 | 0.7470 |
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| 0.6929 | 4.0 | 252 | 0.6883 | 0.8125 |
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| 0.5935 | 5.0 | 315 | 0.6247 | 0.8214 |
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| 0.5427 | 6.0 | 378 | 0.5926 | 0.8244 |
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| 0.5002 | 7.0 | 441 | 0.5735 | 0.8452 |
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| 0.4704 | 8.0 | 504 | 0.5520 | 0.8482 |
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| 0.4521 | 9.0 | 567 | 0.5330 | 0.8363 |
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| 0.4311 | 10.0 | 630 | 0.5249 | 0.8512 |
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| 0.4096 | 11.0 | 693 | 0.5185 | 0.8512 |
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| 0.3999 | 12.0 | 756 | 0.5112 | 0.8542 |
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| 0.3918 | 13.0 | 819 | 0.5042 | 0.8512 |
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| 0.3862 | 14.0 | 882 | 0.4984 | 0.8542 |
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| 0.3784 | 15.0 | 945 | 0.4985 | 0.8512 |
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| 0.3733 | 16.0 | 1008 | 0.4967 | 0.8512 |
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| 0.3763 | 17.0 | 1071 | 0.4947 | 0.8512 |
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| 0.3736 | 18.0 | 1134 | 0.4949 | 0.8512 |
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| 0.3718 | 19.0 | 1197 | 0.4948 | 0.8512 |
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| 0.3722 | 20.0 | 1260 | 0.4947 | 0.8512 |
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### Framework versions
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- Transformers 4.48.3
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logs/events.out.tfevents.1740248525.2fc0677913f2.828.1
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model.safetensors
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