Model save
Browse files- README.md +31 -0
- logs/events.out.tfevents.1740248566.943ca99e1f33.812.1 +2 -2
- model.safetensors +1 -1
README.md
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base_model: microsoft/swin-base-patch4-window7-224
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tags:
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- generated_from_trainer
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model-index:
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- name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
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results: []
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# swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) 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/swin-base-patch4-window7-224
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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: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
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results: []
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# swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6677
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- Accuracy: 0.7857
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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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| 1.9001 | 1.0 | 63 | 1.6795 | 0.4613 |
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| 1.429 | 2.0 | 126 | 1.2172 | 0.6310 |
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| 1.0492 | 3.0 | 189 | 1.0030 | 0.6905 |
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| 0.8729 | 4.0 | 252 | 0.8982 | 0.7381 |
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| 0.7743 | 5.0 | 315 | 0.8246 | 0.7321 |
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| 0.7084 | 6.0 | 378 | 0.7977 | 0.7440 |
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| 0.6631 | 7.0 | 441 | 0.7650 | 0.7649 |
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| 0.6279 | 8.0 | 504 | 0.7327 | 0.7619 |
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| 0.6004 | 9.0 | 567 | 0.7189 | 0.7768 |
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| 0.577 | 10.0 | 630 | 0.7078 | 0.7798 |
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| 0.5625 | 11.0 | 693 | 0.6952 | 0.7738 |
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| 0.5449 | 12.0 | 756 | 0.6857 | 0.7857 |
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| 0.537 | 13.0 | 819 | 0.6802 | 0.7827 |
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| 0.5301 | 14.0 | 882 | 0.6746 | 0.7857 |
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| 0.5224 | 15.0 | 945 | 0.6715 | 0.7857 |
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| 0.5188 | 16.0 | 1008 | 0.6704 | 0.7857 |
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| 0.5153 | 17.0 | 1071 | 0.6685 | 0.7857 |
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| 0.5112 | 18.0 | 1134 | 0.6676 | 0.7857 |
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| 0.5119 | 19.0 | 1197 | 0.6678 | 0.7857 |
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| 0.5112 | 20.0 | 1260 | 0.6677 | 0.7857 |
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### Framework versions
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- Transformers 4.48.3
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logs/events.out.tfevents.1740248566.943ca99e1f33.812.1
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model.safetensors
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