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wav2vec2vncskh
dolphinnlp/wav2vec2vncskh
wav2vec2vncskh is a automatic speech recognition model from dolphinnlp. 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
- Dec 31, 2023
- Updated
- Jan 2, 2024
- SHA
- 1b71ca22
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. -->
wav2vec2vncskh
This model is a fine-tuned version of linl03/wav2vec2vncskh on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6088
- Wer: 0.9995
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: 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9335 | 8.06 | 500 | 1.3712 | 1.0 |
| 1.6652 | 16.13 | 1000 | 0.7927 | 0.9995 |
| 1.2043 | 24.19 | 1500 | 0.6088 | 0.9995 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Dec 31, 2023
- Updated
- Jan 2, 2024