videomae-base-fatigue-detection

This model is a fine-tuned version of kyle0518/videomae-base-fatigue-detection on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.5444
• Accuracy: 0.5374

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• 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: 276.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0	0.72	200	3.5444	0.5374

Framework versions

• Transformers 4.33.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.13.3