datatrain-videomae-base-finetuned-lr1.7782794100389227e-06-poly2

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: 2.3134
• Accuracy: 0.1832

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: 1.7782794100389227e-06
• 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: polynomial
• training_steps: 3096

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3394	0.5003	1549	2.3596	0.1259
2.3539	1.4997	3096	2.3481	0.1335

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1
• Datasets 3.3.2
• Tokenizers 0.19.1