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vit-base-patch16-224_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.1738068006.6348a706cbe6.412.0 +2 -2
  4. logs/events.out.tfevents.1738156053.0fb85dc81c17.179.1 +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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  # vit-base-patch16-224_rice-leaf-disease-augmented_fft_012825
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) 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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  # vit-base-patch16-224_rice-leaf-disease-augmented_fft_012825
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - epoch: 8.0
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+ - eval_accuracy: 0.988
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+ - eval_loss: 0.0322
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+ - eval_runtime: 78.5419
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+ - eval_samples_per_second: 25.464
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+ - eval_steps_per_second: 0.407
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+ - step: 2000
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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
@@ -37,7 +37,6 @@
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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": "4.47.1"
 
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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": "4.47.1"
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