metadata

license: cc-by-nc-4.0
tags:
  - generated_from_trainer
  - video-classification
  - videomae
  - vision
metrics:
  - accuracy
base_model: MCG-NJU/videomae-base
model-index:
  - name: videomae-base-finetuned-ucf101-subset
    results: []

videomae-base-finetuned-ucf101-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: 0.3992
Accuracy: 0.8645

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: 148

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1374	0.26	38	1.7413	0.5714
0.7949	1.26	76	0.7747	0.8
0.4279	2.26	114	0.4053	0.9143
0.291	3.23	148	0.3429	0.9286

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2