hansen_model2

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: 1.2014
• Accuracy: 0.5

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
• training_steps: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.3125	5	0.9904	0.5556
0.9988	1.3125	10	1.1804	0.5
0.9988	2.3125	15	1.2038	0.5
0.9988	3.0625	16	1.2014	0.5

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cpu
• Datasets 3.0.0
• Tokenizers 0.19.1