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
    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: 1.4692
Accuracy: 0.5796

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: 804

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8076	0.2512	202	1.8165	0.5839
1.6691	1.2512	404	1.6015	0.5573
1.4736	2.2512	606	1.5749	0.5783
1.3263	3.2463	804	1.4692	0.5796

Framework versions

Transformers 4.44.2
Pytorch 2.1.1+cu121
Datasets 3.0.2
Tokenizers 0.19.1