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josesantorcuato
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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 +9 -8
  2. runs/Oct22_17-35-56_8e489873f98b/events.out.tfevents.1729618582.8e489873f98b.9878.0 +2 -2
  3. runs/Oct22_17-35-56_8e489873f98b/events.out.tfevents.1729619014.8e489873f98b.9878.1 +3 -0
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.4209
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- - Accuracy: 0.8903
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  ## Model description
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@@ -45,21 +45,22 @@ 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: 148
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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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- | 2.0919 | 0.2568 | 38 | 1.8006 | 0.5286 |
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- | 0.9101 | 1.2568 | 76 | 0.9759 | 0.6857 |
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- | 0.4855 | 2.2568 | 114 | 0.5223 | 0.8286 |
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- | 0.2876 | 3.2297 | 148 | 0.4034 | 0.8857 |
 
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  ### Framework versions
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  - Transformers 4.44.2
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  - Pytorch 2.0.1+cu117
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- - Datasets 3.0.1
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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: 0.3850
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+ - Accuracy: 0.8395
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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: 210
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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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+ | 2.0368 | 0.2048 | 43 | 2.0273 | 0.2933 |
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+ | 1.1679 | 1.2048 | 86 | 1.0919 | 0.56 |
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+ | 0.5097 | 2.2048 | 129 | 0.5804 | 0.8267 |
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+ | 0.2293 | 3.2048 | 172 | 0.4855 | 0.8267 |
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+ | 0.1882 | 4.1810 | 210 | 0.3435 | 0.9067 |
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  ### Framework versions
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  - Transformers 4.44.2
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  - Pytorch 2.0.1+cu117
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+ - Datasets 3.0.2
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  - Tokenizers 0.19.1
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