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SCUTFVD-resnet50-fold01

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the-clueless-classifier commited on
Commit
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1 Parent(s): ec174e8

Fine-tune iteration 1 fold 01

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Files changed (4) hide show
  1. README.md +13 -16
  2. config.json +793 -992
  3. model.safetensors +2 -2
  4. training_args.bin +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.7193
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- - Accuracy: 0.0
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  ## Model description
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@@ -44,25 +44,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- - num_epochs: 12.0
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- - label_smoothing_factor: 0.1
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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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- | 5.6373 | 1.0 | 75 | 7.7193 | 0.0 |
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- | 5.1871 | 2.0 | 150 | 8.3867 | 0.0 |
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- | 4.7966 | 3.0 | 225 | 8.2593 | 0.0 |
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- | 4.4306 | 4.0 | 300 | 8.1700 | 0.0 |
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- | 4.1405 | 5.0 | 375 | 8.5144 | 0.0 |
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- | 3.7208 | 6.0 | 450 | 7.9797 | 0.0 |
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- | 3.4242 | 7.0 | 525 | 8.2035 | 0.0 |
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- | 3.2700 | 8.0 | 600 | 8.3186 | 0.0 |
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- | 2.9951 | 9.0 | 675 | 8.3527 | 0.0 |
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- | 2.9013 | 10.0 | 750 | 8.0421 | 0.0 |
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- | 2.9466 | 11.0 | 825 | 8.2511 | 0.0 |
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- | 2.8437 | 12.0 | 900 | 8.3375 | 0.0 |
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  ### Framework versions
 
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19
  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.3516
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+ - Accuracy: 1.0
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  ## Model description
25
 
 
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
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+ - num_epochs: 10
 
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49
  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 3.3847 | 1.0 | 75 | 5.0682 | 0.1875 |
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+ | 2.5630 | 2.0 | 150 | 4.0558 | 0.25 |
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+ | 2.0217 | 3.0 | 225 | 4.9411 | 0.2188 |
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+ | 1.7360 | 4.0 | 300 | 2.1920 | 0.8438 |
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+ | 1.4617 | 5.0 | 375 | 2.9501 | 0.5 |
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+ | 1.2141 | 6.0 | 450 | 2.4084 | 0.5625 |
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+ | 0.9616 | 7.0 | 525 | 0.7715 | 1.0 |
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+ | 0.8966 | 8.0 | 600 | 1.4465 | 1.0 |
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+ | 0.7456 | 9.0 | 675 | 0.7191 | 1.0 |
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+ | 0.7394 | 10.0 | 750 | 0.3516 | 1.0 |
 
 
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  ### Framework versions
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