---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model is a fine-tuned version of [dvs/videomae-base-finetuned-kinetics-finetuned-movienet-2](https://huggingface.co/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