---
library_name: transformers
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: vietnamese-regional-accent-classification-model
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    metrics:
    - name: F1
      type: f1
      value: 0.8217287598030195
---

<!-- 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. -->

# vietnamese-regional-accent-classification-model

This model achieves the following results on the evaluation set:
- Loss: 0.5951
- F1: 0.8217

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step | F1     | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:---------------:|
| 1.0507        | 1.0   | 44   | 0.7563 | 0.8615          |
| 0.8157        | 2.0   | 88   | 0.7804 | 0.7120          |
| 0.7555        | 3.0   | 132  | 0.7981 | 0.6501          |
| 0.7006        | 4.0   | 176  | 0.7635 | 0.6767          |
| 0.6825        | 5.0   | 220  | 0.8005 | 0.6370          |
| 0.6595        | 6.0   | 264  | 0.7735 | 0.6832          |
| 0.6634        | 7.0   | 308  | 0.8078 | 0.6044          |
| 0.627         | 8.0   | 352  | 0.7873 | 0.6399          |
| 0.603         | 9.0   | 396  | 0.8255 | 0.5825          |
| 0.5977        | 10.0  | 440  | 0.8180 | 0.5931          |
| 0.5635        | 11.0  | 484  | 0.8217 | 0.5951          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0