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wav2vec2-common_voice-tr-mms-demo1
hts98/wav2vec2-common_voice-tr-mms-demo1
wav2vec2-common_voice-tr-mms-demo1 is a automatic speech recognition model from hts98. 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
- Jun 19, 2023
- Updated
- Jun 19, 2023
- SHA
- 326f6d80
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-common_voice-tr-mms-demo1
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the COMMON_VOICE - VI dataset. It achieves the following results on the evaluation set:
- Loss: 3.9491
- Wer: 1.0
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: 0.001
- train_batch_size: 4
- 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: 100
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.79 | 100 | 7.5433 | 1.0 |
| No log | 3.57 | 200 | 4.1980 | 1.0 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.7.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Languages
- vi
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023