metadata

license: cc-by-nc-4.0
base_model: dvs/videomae-base-finetuned-kinetics-finetuned-movienet-2
tags:
  - generated_from_trainer
model-index:
  - name: videomae-base-finetuned-kinetics-finetuned-movienet-2-2
    results: []

videomae-base-finetuned-kinetics-finetuned-movienet-2-2

This model is a fine-tuned version of dvs/videomae-base-finetuned-kinetics-finetuned-movienet-2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.4970
eval_accuracy: 0.7552
eval_runtime: 166.7089
eval_samples_per_second: 1.152
eval_steps_per_second: 0.144
epoch: 6.0
step: 1117

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.5
training_steps: 1850

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3