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resnet-50_augmented-v2_tl

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  1. README.md +31 -0
  2. model.safetensors +1 -1
README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: microsoft/resnet-50
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: resnet-50_rice-leaf-disease-augmented-v2_tl
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  results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # resnet-50_rice-leaf-disease-augmented-v2_tl
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -43,6 +48,32 @@ The following hyperparameters were used during training:
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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/resnet-50
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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: resnet-50_rice-leaf-disease-augmented-v2_tl
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  results: []
 
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  # resnet-50_rice-leaf-disease-augmented-v2_tl
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3083
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+ - Accuracy: 0.5952
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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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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.0633 | 1.0 | 63 | 2.0143 | 0.3452 |
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+ | 1.9625 | 2.0 | 126 | 1.8719 | 0.5060 |
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+ | 1.8119 | 3.0 | 189 | 1.7332 | 0.5 |
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+ | 1.6826 | 4.0 | 252 | 1.6271 | 0.5268 |
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+ | 1.5879 | 5.0 | 315 | 1.5436 | 0.5595 |
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+ | 1.516 | 6.0 | 378 | 1.4871 | 0.5536 |
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+ | 1.4572 | 7.0 | 441 | 1.4566 | 0.5655 |
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+ | 1.4104 | 8.0 | 504 | 1.4224 | 0.5685 |
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+ | 1.3734 | 9.0 | 567 | 1.4033 | 0.5685 |
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+ | 1.3414 | 10.0 | 630 | 1.3735 | 0.5952 |
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+ | 1.3186 | 11.0 | 693 | 1.3579 | 0.5714 |
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+ | 1.2972 | 12.0 | 756 | 1.3402 | 0.5923 |
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+ | 1.2862 | 13.0 | 819 | 1.3342 | 0.5893 |
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+ | 1.2716 | 14.0 | 882 | 1.3271 | 0.5863 |
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+ | 1.2632 | 15.0 | 945 | 1.3210 | 0.6042 |
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+ | 1.2546 | 16.0 | 1008 | 1.3146 | 0.5923 |
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+ | 1.2485 | 17.0 | 1071 | 1.3061 | 0.6012 |
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+ | 1.25 | 18.0 | 1134 | 1.3090 | 0.5923 |
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+ | 1.2457 | 19.0 | 1197 | 1.3106 | 0.6042 |
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+ | 1.2466 | 20.0 | 1260 | 1.3083 | 0.5952 |
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+
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+
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  ### Framework versions
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  - Transformers 4.48.3
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