readme: ---
  language:
  - fr
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_7_0
  - generated_from_trainer
  model-index:
  - name: ''
    results: []
  ---
  
  <!-- 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. -->
  
  # 
  
  This model is a fine-tuned version of [./checkpoint-6000](https://huggingface.co/./checkpoint-6000) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - FR dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2619
  - Wer: 0.2457
  
  ## 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: 7.5e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 2000
  - num_epochs: 2.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.495         | 0.16  | 500  | 3.3883          | 1.0    |
  | 2.9095        | 0.32  | 1000 | 2.9152          | 1.0000 |
  | 1.8434        | 0.49  | 1500 | 1.0473          | 0.7446 |
  | 1.4298        | 0.65  | 2000 | 0.5729          | 0.5130 |
  | 1.1937        | 0.81  | 2500 | 0.3795          | 0.3450 |
  | 1.1248        | 0.97  | 3000 | 0.3321          | 0.3052 |
  | 1.0835        | 1.13  | 3500 | 0.3038          | 0.2805 |
  | 1.0479        | 1.3   | 4000 | 0.2910          | 0.2689 |
  | 1.0413        | 1.46  | 4500 | 0.2798          | 0.2593 |
  | 1.014         | 1.62  | 5000 | 0.2727          | 0.2512 |
  | 1.004         | 1.78  | 5500 | 0.2646          | 0.2471 |
  | 0.9949        | 1.94  | 6000 | 0.2619          | 0.2457 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.2.dev0
  - Tokenizers 0.11.0
  