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wav2vec-soict23
trongnt/wav2vec-soict23
wav2vec-soict23 is a automatic speech recognition model from trongnt. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-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-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023
- SHA
- 0d63510a
Base models
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. -->
wav2vec-soict23
This model is a fine-tuned version of foxxy-hm/wav2vec2-base-finetune-vi-v6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1413
- Wer: 0.1326
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: 6e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.253 | 0.99 | 500 | 0.1627 | 0.1352 |
| 0.2011 | 1.98 | 1000 | 0.1413 | 0.1326 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.8.0
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023