metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
  - generated_from_trainer
model-index:
  - name: videomae-large-finetuned-right-hand-conflab-v3
    results: []

videomae-large-finetuned-right-hand-conflab-v3

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

eval_loss: 1.7345
eval_accuracy: 0.5805
eval_runtime: 19.4619
eval_samples_per_second: 10.533
eval_steps_per_second: 0.668
epoch: 10.0342
step: 618

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: 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: 819

Framework versions

Transformers 4.41.0
Pytorch 1.12.0+cu116
Datasets 2.19.1
Tokenizers 0.19.1