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-Surprise11
results: []
videomae-base-finetuned-ElderReact-Surprise11
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: 0.6381
- Accuracy: 0.652
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 |
|---|---|---|---|---|
| 0.7047 | 0.1 | 39 | 0.6542 | 0.5892 |
| 0.7111 | 1.1 | 78 | 0.6551 | 0.5854 |
| 0.6839 | 2.1 | 117 | 0.6406 | 0.6508 |
| 0.6872 | 3.1 | 156 | 0.6314 | 0.6307 |
| 0.6678 | 4.1 | 195 | 0.6236 | 0.6671 |
| 0.5806 | 5.1 | 234 | 0.6078 | 0.6482 |
| 0.5697 | 6.1 | 273 | 0.6825 | 0.5980 |
| 0.6127 | 7.1 | 312 | 0.6446 | 0.6005 |
| 0.5645 | 8.1 | 351 | 0.6240 | 0.6307 |
| 0.549 | 9.08 | 380 | 0.6290 | 0.6181 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2