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-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: 1.0213
Accuracy: 0.8

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
2.2293	0.2568	38	2.0990	0.4714
1.6003	1.2568	76	1.5543	0.6714
1.1744	2.2568	114	1.1574	0.8286
0.9129	3.2297	148	1.0099	0.8571

Framework versions

Transformers 4.42.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1