transformers tensorboard safetensors videomae video-classification generated_from_trainer base_model:hungsvdut2k2/video-classification endpoints_compatible region:us
---
base_model: hungsvdut2k2/video-classification
tags:
- generated_from_trainer
model-index:
- name: video-classification-finetuned-ucf101-subset
  results: []
---

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# video-classification-finetuned-ucf101-subset

This model is a fine-tuned version of [hungsvdut2k2/video-classification](https://huggingface.co/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
