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swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft

Image Classification
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  1. README.md +9 -1
  2. config.json +0 -1
  3. logs/events.out.tfevents.1738068704.12acbf7fd063.565.0 +2 -2
  4. logs/events.out.tfevents.1738165438.e5aa8480a3fc.600.0 +3 -0
  5. model.safetensors +1 -1
  6. training_args.bin +1 -1
README.md CHANGED
@@ -15,6 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825
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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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@@ -40,7 +48,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 20
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  ### Framework versions
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  # swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825
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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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+ - epoch: 9.0
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+ - eval_accuracy: 0.992
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+ - eval_loss: 0.0218
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+ - eval_runtime: 82.0242
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+ - eval_samples_per_second: 24.383
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+ - eval_steps_per_second: 0.39
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+ - step: 2250
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 15
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  ### Framework versions
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config.json CHANGED
@@ -57,7 +57,6 @@
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  ],
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  "patch_size": 4,
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  "path_norm": true,
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- "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "stage_names": [
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  "stem",
 
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  ],
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  "patch_size": 4,
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  "path_norm": true,
 
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  "qkv_bias": true,
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  "stage_names": [
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  "stem",
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