metadata

library_name: transformers
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1
    results: []

vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5183
Accuracy: 0.8333

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-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 5800

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6322	0.1207	700	0.5183	0.8333
0.1859	1.1207	1400	0.6102	0.7222
0.047	2.1207	2100	0.4966	0.8333
0.1622	3.1207	2800	0.7591	0.8333

Framework versions

Transformers 4.47.1
Pytorch 1.13.1+cu117
Datasets 3.2.0
Tokenizers 0.21.0