videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3075
- Accuracy: 0.9161
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3609 | 0.25 | 300 | 1.5159 | 0.4286 |
| 1.9942 | 1.25 | 600 | 1.5774 | 0.5857 |
| 0.505 | 2.25 | 900 | 1.0719 | 0.8143 |
| 1.2688 | 3.25 | 1200 | 0.3484 | 0.9 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0.dev20240822
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for meggggg/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base