metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Badminton_strokes-finetuned-stroke-classification_10
results: []
videomae-base-Badminton_strokes-finetuned-stroke-classification_10
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: 0.5231
- Accuracy: 0.8551
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: 2450
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3775 | 0.1004 | 246 | 1.5477 | 0.4784 |
| 0.9098 | 1.1004 | 492 | 1.2118 | 0.6965 |
| 0.6294 | 2.1004 | 738 | 1.1314 | 0.7164 |
| 0.6993 | 3.1004 | 984 | 1.1107 | 0.7333 |
| 0.4355 | 4.1004 | 1230 | 1.0774 | 0.7497 |
| 0.3388 | 5.1004 | 1476 | 1.0708 | 0.7673 |
| 0.448 | 6.1004 | 1722 | 1.1309 | 0.7678 |
| 0.2328 | 7.1004 | 1968 | 1.0999 | 0.7737 |
| 0.2329 | 8.1004 | 2214 | 1.1141 | 0.7807 |
| 0.1596 | 9.0963 | 2450 | 1.1185 | 0.7795 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0