metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large-finetuned-kinetics
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: MAE-CT-CPC-Dicotomized-v4-early-stop
    results: []

MAE-CT-CPC-Dicotomized-v4-early-stop

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

Loss: 0.6236
Accuracy: 0.6829

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: 1e-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: 1440

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5496	0.06	81	0.6272	0.6829
0.6089	1.06	162	0.5969	0.6829
0.715	2.06	243	0.6062	0.6585
0.474	3.06	324	0.6187	0.6829

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 3.0.1
Tokenizers 0.15.1