videomae-base-finetuned-gesturePhasev2

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: 0.8172
• Accuracy: 0.7633

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-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• training_steps: 376

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1665	0.125	47	1.0642	0.775
0.7316	1.1263	95	0.7826	0.7875
0.7259	2.125	142	0.8042	0.7875
0.6643	3.1263	190	0.8023	0.7875
0.761	4.125	237	0.8077	0.7875

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1