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-v3
results: []
videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v3
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: 1.3489
- Accuracy: 0.5813
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: 936
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9096 | 0.1261 | 118 | 1.6888 | 0.3333 |
| 1.628 | 1.1261 | 236 | 1.6285 | 0.4118 |
| 1.3656 | 2.1261 | 354 | 1.3947 | 0.5147 |
| 1.1498 | 3.1261 | 472 | 1.2639 | 0.5735 |
| 0.6546 | 4.1261 | 590 | 1.2054 | 0.5882 |
| 0.4812 | 5.1261 | 708 | 1.2695 | 0.5490 |
| 0.4631 | 6.1261 | 826 | 1.2095 | 0.6078 |
| 0.2311 | 7.1175 | 936 | 1.1960 | 0.5980 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1