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honnlp
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videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +13 -7
  2. model.safetensors +1 -1
  3. runs/May11_06-57-43_4c534f0b297c/events.out.tfevents.1715412722.4c534f0b297c.5714.1 +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: 0.3216
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- - Accuracy: 0.8839
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  ## Model description
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@@ -44,16 +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: 300
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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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- | 1.725 | 0.25 | 75 | 1.4550 | 0.5857 |
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- | 0.9129 | 1.25 | 150 | 0.6065 | 0.8 |
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- | 0.2847 | 2.25 | 225 | 0.3712 | 0.8429 |
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- | 0.1871 | 3.25 | 300 | 0.2804 | 0.9 |
 
 
 
 
 
 
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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: 0.2622
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+ - Accuracy: 0.9226
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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: 750
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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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+ | 2.1525 | 0.1 | 75 | 1.7229 | 0.5429 |
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+ | 1.028 | 1.1 | 150 | 0.7190 | 0.7571 |
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+ | 0.3541 | 2.1 | 225 | 0.3072 | 0.8714 |
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+ | 0.6501 | 3.1 | 300 | 0.5646 | 0.7857 |
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+ | 0.0448 | 4.1 | 375 | 0.4440 | 0.8571 |
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+ | 0.0785 | 5.1 | 450 | 0.3218 | 0.9 |
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+ | 0.0214 | 6.1 | 525 | 0.1372 | 0.9571 |
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+ | 0.0039 | 7.1 | 600 | 0.1034 | 0.9571 |
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+ | 0.0048 | 8.1 | 675 | 0.1595 | 0.9143 |
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+ | 0.0052 | 9.1 | 750 | 0.1007 | 0.9571 |
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  ### Framework versions
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runs/May11_06-57-43_4c534f0b297c/events.out.tfevents.1715412722.4c534f0b297c.5714.1 ADDED
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