Downloads · 30 days
9
3% of all-time downloads
whisper-small-defined-dot-ai-qc-fr-combined-dataset-normalized
jwkritchie/whisper-small-defined-dot-ai-qc-fr-combined-dataset-normalized
whisper-small-defined-dot-ai-qc-fr-combined-dataset-normalized 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. --
All-time downloads
320
Public
Repo size
5.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin967 MB · 100%
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
- bbcedc3a
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 w/ Normalization
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: 0.6003
- Wer: 32.1540
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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8114 | 0.33 | 500 | 0.6132 | 32.0207 |
| 0.8052 | 0.67 | 1000 | 0.5988 | 30.2386 |
| 0.7627 | 1.0 | 1500 | 0.6003 | 32.1540 |
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