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-ElderReact-Fear11
results: []
videomae-base-finetuned-ElderReact-Fear11
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: 0.3036
- Accuracy: 0.908
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: 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: 380
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4132 | 0.1 | 39 | 0.2544 | 0.9309 |
| 0.4058 | 1.1 | 78 | 0.2650 | 0.9309 |
| 0.351 | 2.1 | 117 | 0.3078 | 0.9309 |
| 0.399 | 3.1 | 156 | 0.2530 | 0.9309 |
| 0.3695 | 4.1 | 195 | 0.2489 | 0.9309 |
| 0.3783 | 5.1 | 234 | 0.2386 | 0.9309 |
| 0.3474 | 6.1 | 273 | 0.2566 | 0.9284 |
| 0.3682 | 7.1 | 312 | 0.2381 | 0.9309 |
| 0.2805 | 8.1 | 351 | 0.2404 | 0.9296 |
| 0.3692 | 9.08 | 380 | 0.2461 | 0.9284 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2