videomae-base-finetuned-kinetics-finetuned-caer-subset-5-classes

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5816
• Accuracy: 0.2192

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: 250

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6206	0.56	139	1.5776	0.2
1.315	1.44	250	1.5317	0.3

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0
• Datasets 2.18.0
• Tokenizers 0.15.2