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hafidber
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videomae-base-finetuned-Risky-situations

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
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  1. README.md +15 -10
  2. model.safetensors +1 -1
  3. runs/Aug06_23-43-43_4309d1e10d21/events.out.tfevents.1722987902.4309d1e10d21.638.0 +2 -2
  4. runs/Aug06_23-43-43_4309d1e10d21/events.out.tfevents.1722994475.4309d1e10d21.638.1 +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: 0.3049
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- - Accuracy: 1.0
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  ## Model description
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@@ -44,17 +44,22 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 125
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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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- | 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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  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: 0.1588
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+ - Accuracy: 0.9565
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 1040
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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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+ | 0.42 | 0.1010 | 105 | 1.1518 | 0.6957 |
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+ | 0.4222 | 1.1010 | 210 | 2.0082 | 0.6196 |
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+ | 0.8311 | 2.1010 | 315 | 0.1588 | 0.9565 |
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+ | 0.2905 | 3.1010 | 420 | 0.3990 | 0.9239 |
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+ | 0.0003 | 4.1010 | 525 | 0.5733 | 0.9130 |
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+ | 0.0015 | 5.1010 | 630 | 0.3354 | 0.9565 |
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+ | 0.1905 | 6.1010 | 735 | 0.3576 | 0.9565 |
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+ | 0.0001 | 7.1010 | 840 | 0.3462 | 0.9457 |
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+ | 0.0001 | 8.1010 | 945 | 0.3043 | 0.9565 |
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+ | 0.0001 | 9.0913 | 1040 | 0.3424 | 0.9565 |
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  ### Framework versions
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