fine-tuned-model-volley

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: 2.0577
• Accuracy: 0.5440

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: 4398

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0824	0.3256	1432	1.1156	0.2518
1.1209	1.3256	2864	1.1353	0.2518
0.9774	2.3256	4296	1.9426	0.5563
0.3645	3.0232	4398	2.0577	0.5440

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1