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

# working

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: 4.6095
- Accuracy: 0.0266
- Top 1 Accuracy: 0.0266
- Top 5 Accuracy: 0.0858
- Top 10 Accuracy: 0.1420
- Macro Precision: 0.0024
- Macro Recall: 0.0173
- Macro F1: 0.0039
- Pearson Corr: 0.3016
- Spearman Corr: 0.2739

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Macro Precision | Macro Recall | Macro F1 | Pearson Corr | Spearman Corr |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:--------------:|:---------------:|:---------------:|:------------:|:--------:|:------------:|:-------------:|
| 4.523         | 5.0542 | 500  | 4.6095          | 0.0266   | 0.0266         | 0.0858         | 0.1420          | 0.0024          | 0.0173       | 0.0039   | 0.3016       | 0.2739        |


### Framework versions

- Transformers 4.44.0
- Pytorch 1.11.0+cu102
- Datasets 2.21.0
- Tokenizers 0.19.1