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videomae
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Upload trained VideoMAE with metrics and figures

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  1. README.md +6 -6
  2. confusion_matrix_test_50.png +0 -0
  3. confusion_matrix_train_50.png +0 -0
  4. confusion_matrix_valid_50.png +0 -0
  5. model.safetensors +1 -1
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2936
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  - Accuracy: 0.125
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  - Top 1 Accuracy: 0.125
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- - Top 5 Accuracy: 0.5938
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  - Top 10 Accuracy: 1.0
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- - Macro Precision: 0.0129
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  - Macro Recall: 0.1
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- - Macro F1: 0.0229
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Macro Precision | Macro Recall | Macro F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:--------------:|:---------------:|:---------------:|:------------:|:--------:|
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- | No log | 0.4706 | 8 | 2.3049 | 0.125 | 0.125 | 0.625 | 1.0 | 0.0125 | 0.1 | 0.0222 |
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- | No log | 1.4853 | 17 | 2.2936 | 0.125 | 0.125 | 0.5938 | 1.0 | 0.0129 | 0.1 | 0.0229 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2852
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  - Accuracy: 0.125
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  - Top 1 Accuracy: 0.125
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+ - Top 5 Accuracy: 0.5625
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  - Top 10 Accuracy: 1.0
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+ - Macro Precision: 0.0138
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  - Macro Recall: 0.1
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+ - Macro F1: 0.0242
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Macro Precision | Macro Recall | Macro F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:--------------:|:---------------:|:---------------:|:------------:|:--------:|
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+ | No log | 0.4706 | 8 | 2.3331 | 0.125 | 0.125 | 0.4688 | 1.0 | 0.0125 | 0.1 | 0.0222 |
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+ | No log | 1.4853 | 17 | 2.2852 | 0.125 | 0.125 | 0.5625 | 1.0 | 0.0138 | 0.1 | 0.0242 |
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  ### Framework versions
confusion_matrix_test_50.png CHANGED
confusion_matrix_train_50.png CHANGED
confusion_matrix_valid_50.png CHANGED
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