metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-good-gestureUnitV11
results: []
videomae-base-finetuned-good-gestureUnitV11
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:
- Accuracy: 0.9310
- Loss: 0.3025
- Accuracy Gunit: 0.8571
- Accuracy Nothing: 1.0
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: 80
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
|---|---|---|---|---|---|---|
| 0.6685 | 0.2125 | 17 | 0.6071 | 0.6297 | 1.0 | 0.2903 |
| 0.5348 | 1.2125 | 34 | 0.8214 | 0.4292 | 0.6 | 1.0 |
| 0.3395 | 2.2125 | 51 | 0.7857 | 0.4852 | 0.88 | 0.7097 |
| 0.3607 | 3.2125 | 68 | 0.8214 | 0.4507 | 0.6 | 1.0 |
| 0.2436 | 4.15 | 80 | 0.7857 | 0.4433 | 0.76 | 0.8065 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1