Intoxicated_Classification_Fine_Tuned_videomae-base
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: 1.5225
- Accuracy: 0.6974
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2792
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2663 | 0.25 | 698 | 0.9464 | 0.6060 |
| 0.1985 | 1.25 | 1396 | 1.3857 | 0.6178 |
| 0.1581 | 2.25 | 2094 | 1.8929 | 0.6540 |
| 0.0711 | 3.25 | 2792 | 1.5225 | 0.6974 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base
Base model
MCG-NJU/videomae-base