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: 0.4799
- Accuracy: 0.8645
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: 1500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6374 | 0.2 | 300 | 1.5436 | 0.4143 |
| 1.4888 | 1.2 | 600 | 1.4969 | 0.6 |
| 0.5068 | 2.2 | 900 | 1.2462 | 0.7571 |
| 1.0515 | 3.2 | 1200 | 0.8028 | 0.7714 |
| 0.0057 | 4.2 | 1500 | 0.3585 | 0.9429 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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