| --- |
| language: |
| - fr |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| base_model: openai/whisper-small |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - google/fleurs |
| - facebook/multilingual_librispeech |
| - facebook/voxpopuli |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Mixed-French |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: mozilla-foundation/common_voice_17_0 fr |
| type: mozilla-foundation/common_voice_17_0 |
| config: fr |
| split: test |
| args: fr |
| metrics: |
| - type: wer |
| value: 15.015790814663829 |
| name: Wer |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: google/fleurs |
| type: google/fleurs |
| config: fr_fr |
| split: test |
| metrics: |
| - type: wer |
| value: 12.02 |
| name: WER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: facebook/multilingual_librispeech |
| type: facebook/multilingual_librispeech |
| config: french |
| split: test |
| metrics: |
| - type: wer |
| value: 10.01 |
| name: WER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: facebook/voxpopuli |
| type: facebook/voxpopuli |
| config: fr |
| split: test |
| metrics: |
| - type: wer |
| value: 12.23 |
| name: WER |
| pipeline_tag: automatic-speech-recognition |
| --- |
| |
| <!-- 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 Mixed-French |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fr datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - google/fleurs |
| - facebook/multilingual_librispeech |
| - facebook/voxpopuli |
|
|
| It achieves the following results on the evaluation set: |
| - Loss: 0.3092 |
| - Wer: 15.0158 |
|
|
| ## 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: 64 |
| - 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: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.187 | 0.2 | 1000 | 0.3653 | 17.3498 | |
| | 0.1445 | 0.4 | 2000 | 0.3379 | 16.0480 | |
| | 0.1659 | 0.6 | 3000 | 0.3255 | 15.3772 | |
| | 0.1594 | 0.8 | 4000 | 0.3136 | 15.1959 | |
| | 0.1371 | 1.0 | 5000 | 0.3092 | 15.0158 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
