metadata

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

videomae-base-finetuned-ucf101-subset-hand

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: 0.4523
Accuracy: 0.8529

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: 1200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6881	15.0042	200	1.6327	0.1765
1.6118	30.0083	400	1.6022	0.2353
1.3647	46.0017	600	1.3752	0.3824
0.6254	61.0058	800	1.4182	0.3529
0.4048	76.01	1000	0.6370	0.8235
0.1016	92.0033	1200	0.4523	0.8529

Framework versions

Transformers 4.45.0
Pytorch 2.4.1+cu118
Datasets 3.0.0
Tokenizers 0.20.0