metadata

license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
  - generated_from_trainer
model-index:
  - name: vivit-b-16x2-kinetics400-finetuned-ucf101-subset
    results: []

vivit-b-16x2-kinetics400-finetuned-ucf101-subset

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset.

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: 1
eval_batch_size: 1
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: 20

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.0
Tokenizers 0.15.0