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whisper-large-v3-pt-cv16-cuda
fsicoli/whisper-large-v3-pt-cv16-cuda
whisper-large-v3-pt-cv16-cuda is a automatic speech recognition model from fsicoli. 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
- Jan 23, 2024
- Updated
- Feb 26, 2024
- SHA
- c625b15b
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. -->
whisper-large-v3-pt-cv16-cuda
This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/common_voice_16_0 pt dataset. It achieves the following results on the evaluation set:
- Loss: 0.1325
- Wer: 0.9999
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-06
- train_batch_size: 8
- 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: 2000
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.199 | 0.26 | 1000 | 0.1563 | 0.1124 |
| 0.1654 | 0.52 | 2000 | 0.1500 | 0.1052 |
| 0.1794 | 0.77 | 3000 | 0.1379 | 0.0997 |
| 0.0821 | 1.03 | 4000 | 0.1321 | 1.0007 |
| 0.1292 | 1.29 | 5000 | 0.1325 | 0.9999 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.2.0.dev20231212
- Datasets 2.15.1.dev0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Feb 26, 2024