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-Custom_Dataset_Finetune
    results: []
pipeline_tag: video-classification

videomae-base-finetuned-Custom_Dataset_Finetune

This model is a fine-tuned version of MCG-NJU/videomae-base on an Cricket Shots dataset. It achieves the following results on the evaluation set:

Loss: 0.8060
Accuracy: 0.7586

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: 6e-05
train_batch_size: 16
eval_batch_size: 16
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: 250

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9284	0.252	63	0.9844	0.5152
0.9402	1.252	126	0.9521	0.6818
0.8639	2.252	189	0.7931	0.6061
0.6195	3.2440	250	0.9109	0.6364

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1