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--- |
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language: |
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- fr |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny French Cased |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 fr |
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type: mozilla-foundation/common_voice_11_0 |
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config: fr |
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split: test |
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args: fr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 33.06549172161867 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: google/fleurs fr_fr |
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type: google/fleurs |
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config: fr_fr |
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split: test |
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args: fr_fr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 36.69 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny French Cased |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 fr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6509 |
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- Wer: 33.0655 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.7185 | 0.2 | 1000 | 0.7608 | 38.1636 | |
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| 0.6052 | 1.2 | 2000 | 0.6949 | 34.9513 | |
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| 0.4467 | 2.2 | 3000 | 0.6708 | 34.3393 | |
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| 0.4773 | 3.2 | 4000 | 0.6536 | 33.2102 | |
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| 0.4479 | 4.2 | 5000 | 0.6509 | 33.0655 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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