metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAE-small-finetuned-ARSL-diverse-dataset
results: []
VideoMAE-small-finetuned-ARSL-diverse-dataset
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5045
- Accuracy: 0.9663
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 1437
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2899 | 0.21 | 298 | 2.2096 | 0.1685 |
| 1.7238 | 1.21 | 596 | 1.3098 | 0.8652 |
| 0.7663 | 2.21 | 894 | 0.7863 | 0.9101 |
| 0.6536 | 3.21 | 1192 | 0.5533 | 0.9663 |
| 0.6902 | 4.17 | 1437 | 0.5045 | 0.9663 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2