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whisper-large-v3-pt-cv19-fleurs
fsicoli/whisper-large-v3-pt-cv19-fleurs
whisper-large-v3-pt-cv19-fleurs 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
- Sep 24, 2024
- Updated
- Oct 2, 2024
- SHA
- 5ff4d865
Base models
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. -->
whisper-large-v3-pt-cv19-fleurs
This model is a fine-tuned version of openai/whisper-large-v3 on the fsicoli/cv19-fleurs default dataset. It achieves the following results on the evaluation set:
- Loss: 0.1823
- Wer: 0.0756
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: 6.25e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- training_steps: 50000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0559 | 2.2883 | 5000 | 0.1096 | 0.0730 |
| 0.0581 | 4.5767 | 10000 | 0.1326 | 0.0829 |
| 0.0225 | 6.8650 | 15000 | 0.1570 | 0.0849 |
| 0.0088 | 9.1533 | 20000 | 0.1704 | 0.0840 |
| 0.0065 | 11.4416 | 25000 | 0.1823 | 0.0849 |
| 0.006 | 13.7300 | 30000 | 0.1808 | 0.0809 |
| 0.0055 | 16.0183 | 35000 | 0.1811 | 0.0790 |
| 0.0031 | 18.3066 | 40000 | 0.1907 | 0.0784 |
| 0.0011 | 20.5950 | 45000 | 0.1852 | 0.0771 |
| 0.0003 | 22.8833 | 50000 | 0.1848 | 0.0756 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 24, 2024
- Updated
- Oct 2, 2024