videomae-base-finetuned-arcrossing-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: 0.5619
• Accuracy: 0.8235

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: 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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5825	1.0	17	0.5619	0.8235
0.6522	2.0	34	0.6218	0.8235
0.3963	3.0	51	0.5544	0.8235

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu124
• Datasets 3.0.0
• Tokenizers 0.19.1