---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- common_voice
metrics:
- wer
model-index:
- name: wav2vec2-detect-toxic-th
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice
      type: common_voice
      config: th
      split: validation
      args: th
    metrics:
    - name: Wer
      type: wer
      value: 0.4557774607703281
---

<!-- 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. -->

# wav2vec2-detect-toxic-th

This model is a fine-tuned version of [airesearch/wav2vec2-large-xlsr-53-th](https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0926
- Wer: 0.4558

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 35
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.4829        | 3.23  | 100  | 3.4277          | 1.0    |
| 3.301         | 6.45  | 200  | 3.2260          | 1.0    |
| 2.3           | 9.68  | 300  | 1.2590          | 0.5292 |
| 1.1601        | 12.9  | 400  | 1.0578          | 0.5892 |
| 0.9381        | 16.13 | 500  | 1.0390          | 0.4957 |
| 0.8211        | 19.35 | 600  | 1.0411          | 0.4679 |
| 0.7227        | 22.58 | 700  | 1.0614          | 0.4558 |
| 0.6805        | 25.81 | 800  | 1.0750          | 0.4579 |
| 0.6389        | 29.03 | 900  | 1.0678          | 0.4629 |
| 0.6045        | 32.26 | 1000 | 1.0926          | 0.4558 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 1.16.1
- Tokenizers 0.13.3