---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
model-index:
- name: videomae-large_ActionRecognition
  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-large_ActionRecognition

This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0503
- eval_confusion_matrix: {'confusion_matrix': array([[14,  0,  0,  0,  0,  0,  0,  0,  0,  0],
       [ 0, 12,  0,  0,  0,  0,  0,  0,  0,  0],
       [ 0,  0, 17,  0,  0,  0,  0,  0,  0,  0],
       [ 0,  0,  0, 23,  0,  0,  0,  0,  0,  0],
       [ 0,  0,  0,  0,  5,  0,  0,  0,  0,  0],
       [ 0,  0,  0,  0,  1, 32,  0,  0,  0,  0],
       [ 0,  0,  0,  0,  0,  0, 10,  0,  0,  0],
       [ 0,  0,  0,  0,  0,  0,  0, 12,  0,  0],
       [ 0,  0,  0,  0,  0,  0,  0,  0,  7,  0],
       [ 0,  0,  0,  0,  0,  0,  0,  0,  0, 22]])}
- eval_runtime: 27.1769
- eval_samples_per_second: 5.703
- eval_steps_per_second: 2.87
- step: 0

## 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: 2
- eval_batch_size: 2
- 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: 900

### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2