metadata

license: cc-by-nc-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-human-activity-classification
    results: []

videomae-base-finetuned-human-activity-classification

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: 0.6689
Accuracy: 0.6

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: 3
eval_batch_size: 3
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: 32

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.28	9	0.8633	0.4545
0.8381	1.28	18	0.6962	0.5455
0.6628	2.28	27	0.6852	0.5455
0.6392	3.16	32	0.7005	0.5455

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3