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: 1.1055
- Accuracy: 0.7239
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: 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: 9248
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5676 | 0.25 | 2312 | 1.7078 | 0.4554 |
| 0.9578 | 1.25 | 4624 | 1.4415 | 0.5283 |
| 0.9707 | 2.25 | 6936 | 1.4134 | 0.6203 |
| 0.3863 | 3.25 | 9248 | 1.1055 | 0.7239 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for somersby/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base