README.md

metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-VioPeru-subset
    results: []

videomae-base-finetuned-VioPeru-subset

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: 0.5343
• Accuracy: 0.6875

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: 112

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7315	0.25	28	0.7844	0.4107
0.6479	1.25	56	0.6225	0.6607
0.5664	2.25	84	0.5883	0.6429
0.5608	3.25	112	0.5343	0.6875

Framework versions

• Transformers 4.41.2
• Pytorch 2.0.1+cu118
• Datasets 2.19.2
• Tokenizers 0.19.1