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---
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: 0.4536376604850214
---
<!-- 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: 1.2174
- Wer: 0.4536
## 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: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.3619 | 3.23 | 100 | 3.2891 | 1.0 |
| 3.299 | 6.45 | 200 | 3.1670 | 1.0 |
| 2.1179 | 9.68 | 300 | 1.1747 | 0.5221 |
| 1.1047 | 12.9 | 400 | 1.0323 | 0.5849 |
| 0.8974 | 16.13 | 500 | 1.0128 | 0.5029 |
| 0.769 | 19.35 | 600 | 1.0402 | 0.4957 |
| 0.6659 | 22.58 | 700 | 1.0902 | 0.4729 |
| 0.6114 | 25.81 | 800 | 1.1412 | 0.4629 |
| 0.5511 | 29.03 | 900 | 1.1156 | 0.4643 |
| 0.5137 | 32.26 | 1000 | 1.1556 | 0.4679 |
| 0.5132 | 35.48 | 1100 | 1.1851 | 0.4515 |
| 0.4583 | 38.71 | 1200 | 1.1971 | 0.4529 |
| 0.4523 | 41.94 | 1300 | 1.2182 | 0.4579 |
| 0.4329 | 45.16 | 1400 | 1.2178 | 0.4586 |
| 0.4502 | 48.39 | 1500 | 1.2174 | 0.4536 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 1.16.1
- Tokenizers 0.13.3
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