metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
results: []
videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0486
- Accuracy: 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: 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: 448
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4852 | 0.12 | 56 | 0.4753 | 0.7143 |
| 0.6294 | 1.12 | 112 | 0.0372 | 1.0 |
| 0.4141 | 2.12 | 168 | 0.0060 | 1.0 |
| 0.2121 | 3.12 | 224 | 0.0062 | 1.0 |
| 0.8881 | 4.12 | 280 | 0.0046 | 1.0 |
| 0.3003 | 5.12 | 336 | 0.0054 | 1.0 |
| 0.1027 | 6.12 | 392 | 0.1611 | 0.9286 |
| 0.0029 | 7.12 | 448 | 0.0898 | 0.9286 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.1+cu118
- Datasets 2.1.0
- Tokenizers 0.15.2