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hchcsuim
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batch-size16_FFPP-raw_opencv-1FPS_faces-expand0-aligned_unaugmentation_seeds-42_226_2080S

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
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hchcsuim commited on
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Files changed (9) hide show
  1. README.md +11 -11
  2. all_results.json +3 -3
  3. model.safetensors +1 -1
  4. runs/Jul09_18-52-47_Lab4/events.out.tfevents.1720522373.Lab4.11500.0 +3 -0
  5. train_results.json +3 -3
  6. trained_weights_biases.pkl +1 -1
  7. trainer_state.json +6 -6
  8. training_args.bin +1 -1
  9. weights_biases.pkl +1 -1
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9838793846712347
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  - name: Precision
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  type: precision
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- value: 0.9843590956661362
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  - name: Recall
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  type: recall
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- value: 0.9952168367346939
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  - name: F1
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  type: f1
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- value: 0.9897581894843057
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,12 +44,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0431
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- - Accuracy: 0.9839
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- - Precision: 0.9844
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- - Recall: 0.9952
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- - F1: 0.9898
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- - Roc Auc: 0.9989
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  ## Model description
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@@ -83,7 +83,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
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- | 0.0508 | 0.9996 | 1377 | 0.0431 | 0.9839 | 0.9844 | 0.9952 | 0.9898 | 0.9989 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9841403094795117
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  - name: Precision
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  type: precision
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+ value: 0.9841144788861513
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  - name: Recall
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  type: recall
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+ value: 0.9958111085343229
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  - name: F1
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  type: f1
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+ value: 0.9899282441428201
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0440
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+ - Accuracy: 0.9841
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+ - Precision: 0.9841
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+ - Recall: 0.9958
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+ - F1: 0.9899
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+ - Roc Auc: 0.9990
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
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+ | 0.0469 | 0.9996 | 1377 | 0.0440 | 0.9841 | 0.9841 | 0.9958 | 0.9899 | 0.9990 |
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  ### Framework versions
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