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: 0.6321
- Accuracy: 0.7642
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 132
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0105 | 0.25 | 33 | 0.8727 | 0.75 |
| 0.6753 | 1.25 | 66 | 0.5264 | 0.9062 |
| 0.3198 | 2.25 | 99 | 0.4118 | 0.875 |
| 0.2581 | 3.25 | 132 | 0.3522 | 0.9375 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for Dishant1/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base