videomae-huge
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0714
- Accuracy: 0.4286
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: 78
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.6392 | 0.18 | 14 | 2.5780 | 0.25 |
| 1.994 | 1.18 | 28 | 2.3995 | 0.3929 |
| 1.6374 | 2.18 | 42 | 2.3010 | 0.3929 |
| 1.124 | 3.18 | 56 | 2.2242 | 0.3929 |
| 0.9569 | 4.18 | 70 | 2.1825 | 0.4286 |
| 0.8862 | 5.1 | 78 | 2.1734 | 0.4286 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for Tianjiao-Yu/videomae-huge
Base model
MCG-NJU/videomae-base-finetuned-kinetics