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: 1.1351
- Accuracy: 0.6508
Model description
More information needed
Intended uses & limitations
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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: 6
- eval_batch_size: 6
- 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: 184
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1087 | 0.26 | 47 | 1.0796 | 0.6667 |
| 1.1741 | 1.26 | 94 | 1.0369 | 0.6667 |
| 1.1019 | 2.26 | 141 | 1.0368 | 0.6667 |
| 1.2164 | 3.23 | 184 | 1.0369 | 0.6667 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.15.1
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Model tree for beingbatman/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base