videomae-base-groub4-finetuned-SLT-subset

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: 2.9999
• Accuracy: 0.05

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: 1
• eval_batch_size: 1
• 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: 60

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4678	0.33	20	3.0221	0.05
3.3384	1.33	40	3.0131	0.05
3.0454	2.33	60	2.9999	0.05

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0+cpu
• Datasets 2.1.0
• Tokenizers 0.13.3