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wav2vec2-detect-toxic-th
BALAKA/wav2vec2-detect-toxic-th
wav2vec2-detect-toxic-th is a automatic speech recognition model from BALAKA. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 5, 2023
- Updated
- Jun 9, 2023
- SHA
- d0cbbe42
Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-sa-4.0
- Created
- Jun 5, 2023
- Updated
- Jun 9, 2023