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voicetest6
reproductionguru/voicetest6
voicetest6 is a automatic speech recognition model from reproductionguru. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Jan 5, 2024
- SHA
- e1b280ff
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. -->
base
This model is a fine-tuned version of reproductionguru/voicetest6 on the tutorial Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5845
- Wer: 18.9294
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: 1e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2138 | 0.96 | 2000 | 0.4851 | 20.9147 |
| 0.1005 | 1.93 | 4000 | 0.5006 | 20.7187 |
| 0.029 | 2.89 | 6000 | 0.5342 | 19.6702 |
| 0.0092 | 3.85 | 8000 | 0.5682 | 19.0752 |
| 0.0029 | 4.82 | 10000 | 0.5845 | 18.9294 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Dec 27, 2023
- Updated
- Jan 5, 2024