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whisper-small-defined-dot-ai-qc-fr-combined-dataset
jwkritchie/whisper-small-defined-dot-ai-qc-fr-combined-dataset
whisper-small-defined-dot-ai-qc-fr-combined-dataset is a automatic speech recognition model from jwkritchie. 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
- whisper
- Access
- Public
- Created
- Dec 19, 2022
- Updated
- Dec 20, 2022
- SHA
- 2e5a8609
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 Small Finetuned on Defined.AI Quebec Combined French Dataset
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2191
- Wer: 29.5549
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8093 | 1.0 | 1000 | 1.2191 | 29.5549 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- cc-by-nc-4.0
- Languages
- fr
- Created
- Dec 19, 2022
- Updated
- Dec 20, 2022