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: 0.2680
- Accuracy: 0.9097
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: 2
- eval_batch_size: 2
- 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: 600
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2058 | 0.25 | 150 | 1.0513 | 0.7571 |
| 0.8489 | 1.25 | 300 | 0.5581 | 0.7857 |
| 0.1427 | 2.25 | 450 | 0.3362 | 0.8286 |
| 0.4253 | 3.25 | 600 | 0.0811 | 0.9714 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.1.0.dev20230417+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2
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