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: 0.3850
- Accuracy: 0.8395
Model description
More information needed
Intended uses & limitations
More information needed
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: 8
- eval_batch_size: 8
- 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: 210
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0368 | 0.2048 | 43 | 2.0273 | 0.2933 |
| 1.1679 | 1.2048 | 86 | 1.0919 | 0.56 |
| 0.5097 | 2.2048 | 129 | 0.5804 | 0.8267 |
| 0.2293 | 3.2048 | 172 | 0.4855 | 0.8267 |
| 0.1882 | 4.1810 | 210 | 0.3435 | 0.9067 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for josesantorcuato/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base