metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v4
results: []
videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v4
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: 1.9989
- Accuracy: 0.5764
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1287
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1446 | 0.0917 | 118 | 1.7563 | 0.5931 |
| 0.1123 | 1.0917 | 236 | 1.7033 | 0.5833 |
| 0.3621 | 2.0917 | 354 | 2.0058 | 0.5686 |
| 0.0979 | 3.0917 | 472 | 1.9469 | 0.5784 |
| 0.2599 | 4.0917 | 590 | 1.9703 | 0.6029 |
| 0.0292 | 5.0917 | 708 | 1.9382 | 0.6275 |
| 0.0055 | 6.0917 | 826 | 2.0823 | 0.6176 |
| 0.0056 | 7.0917 | 944 | 2.0926 | 0.5931 |
| 0.0016 | 8.0917 | 1062 | 2.1117 | 0.6176 |
| 0.0013 | 9.0917 | 1180 | 2.1569 | 0.6225 |
| 0.2274 | 10.0831 | 1287 | 2.0956 | 0.6078 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1