videomae-base-finetuned-snippets

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: 0.5554
• Accuracy: 0.736

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: 8
• eval_batch_size: 8
• 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: 212

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7007	0.2547	54	0.7598	0.4783
0.6739	1.2547	108	0.6515	0.6304
0.6458	2.2547	162	0.6170	0.6522
0.5599	3.2358	212	0.5813	0.6957

Framework versions

• Transformers 4.44.1
• Pytorch 2.5.1
• Datasets 3.3.2
• Tokenizers 0.19.1