videomae-base-Badminton_strokes-finetuned-stroke-classification
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: 0.5237
- Accuracy: 0.8442
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.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: 1225
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2138 | 0.2008 | 246 | 1.4943 | 0.5123 |
| 0.8947 | 1.2008 | 492 | 1.2374 | 0.6772 |
| 0.5704 | 2.2008 | 738 | 1.2350 | 0.6871 |
| 0.5847 | 3.2008 | 984 | 1.1260 | 0.7398 |
| 0.4343 | 4.1967 | 1225 | 1.0476 | 0.7620 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for yexter/videomae-base-Badminton_strokes-finetuned-stroke-classification
Base model
MCG-NJU/videomae-base