videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v11
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0160
- Accuracy: 0.6108
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-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 468
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.011 | 0.1261 | 59 | 1.9647 | 0.6422 |
| 0.0044 | 1.1261 | 118 | 1.9634 | 0.6373 |
| 0.0486 | 2.1261 | 177 | 1.9649 | 0.6422 |
| 0.0071 | 3.1261 | 236 | 1.9651 | 0.6324 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for flatala-research/videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v11
Base model
MCG-NJU/videomae-base-finetuned-kinetics