---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-chickenbehaviour
  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-chickenbehaviour

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1091
- Accuracy: 0.6676

## 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: 4
- eval_batch_size: 4
- 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: 25448

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3916        | 0.12  | 3181  | 1.5101          | 0.5662   |
| 1.566         | 1.12  | 6362  | 1.2704          | 0.6318   |
| 1.5383        | 2.12  | 9543  | 1.2007          | 0.6452   |
| 1.0339        | 3.12  | 12724 | 1.2358          | 0.6450   |
| 1.0752        | 4.12  | 15905 | 1.1753          | 0.6641   |
| 0.7721        | 5.12  | 19086 | 1.1413          | 0.6777   |
| 0.9696        | 6.12  | 22267 | 1.2086          | 0.6733   |
| 0.8068        | 7.12  | 25448 | 1.2041          | 0.6688   |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2