metadata

license: cc-by-nc-4.0
base_model: sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset
tags:
  - generated_from_trainer
model-index:
  - name: fine-tune
    results: []

fine-tune

This model is a fine-tuned version of sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset 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: 0.0005
train_batch_size: 64
eval_batch_size: 64
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: 188

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3