metadata

base_model: hungsvdut2k2/video-classification
tags:
  - generated_from_trainer
model-index:
  - name: video-classification-finetuned-ucf101-subset
    results: []

video-classification-finetuned-ucf101-subset

This model is a fine-tuned version of hungsvdut2k2/video-classification on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5977
eval_accuracy: 0.7059
eval_runtime: 351.4501
eval_samples_per_second: 2.322
eval_steps_per_second: 0.29
epoch: 0.05
step: 118

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: 0.1
training_steps: 2200

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1