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: 0.5380
- Accuracy: 0.8258
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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1259 | 0.2568 | 38 | 1.9268 | 0.2714 |
| 1.0429 | 1.2568 | 76 | 1.0447 | 0.6429 |
| 0.5065 | 2.2568 | 114 | 0.6279 | 0.7714 |
| 0.3014 | 3.2297 | 148 | 0.4685 | 0.8857 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Model tree for robertellis-digica/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base