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hafidber
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videomae-base-finetuned-Risky-situations

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Model card Files
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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Aug01_13-15-47_597c3e1c3982/events.out.tfevents.1722518508.597c3e1c3982.284.0 +2 -2
  4. runs/Aug01_13-15-47_597c3e1c3982/events.out.tfevents.1722519542.597c3e1c3982.284.1 +3 -0
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 0.9399
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- - Accuracy: 0.75
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6079 | 0.2 | 25 | 0.3069 | 0.9167 |
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- | 0.1006 | 1.2 | 50 | 0.0029 | 1.0 |
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- | 0.2857 | 2.2 | 75 | 1.6326 | 0.6667 |
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- | 0.0044 | 3.2 | 100 | 0.0006 | 1.0 |
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- | 0.0007 | 4.2 | 125 | 0.0005 | 1.0 |
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  ### Framework versions
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- - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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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: 0.3049
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+ - Accuracy: 1.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6969 | 0.2 | 25 | 0.3049 | 1.0 |
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+ | 0.3502 | 1.2 | 50 | 2.4579 | 0.5 |
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+ | 0.0479 | 2.2 | 75 | 0.0032 | 1.0 |
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+ | 0.148 | 3.2 | 100 | 0.0031 | 1.0 |
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+ | 0.4105 | 4.2 | 125 | 0.0022 | 1.0 |
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  ### Framework versions
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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