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: 0.6087
- Accuracy: 0.6865
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: 4
- eval_batch_size: 4
- 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: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6868 | 0.28 | 11 | 0.6107 | 0.6865 |
| 0.6786 | 1.27 | 22 | 0.6150 | 0.6866 |
| 0.6293 | 2.27 | 33 | 0.5944 | 0.6865 |
| 0.6428 | 3.17 | 40 | 0.6087 | 0.6865 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for sharon-kurant/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base