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: 1.1702
- Accuracy: 0.7817
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: 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: 1620
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4355 | 0.17 | 270 | 2.3796 | 0.4879 |
| 0.8776 | 1.17 | 540 | 1.4838 | 0.6812 |
| 0.0146 | 2.17 | 810 | 1.0878 | 0.7391 |
| 2.1899 | 3.17 | 1080 | 1.3479 | 0.7295 |
| 0.0019 | 4.17 | 1350 | 0.8615 | 0.8261 |
| 0.0021 | 5.17 | 1620 | 0.6128 | 0.8551 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Anukul-02/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base