readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: trained_french
    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. -->
  
  # trained_french
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.8493
  - Wer: 1.0
  
  ## 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: 0.003
  - train_batch_size: 6
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 12
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 20
  - num_epochs: 60
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 6.2268        | 5.53  | 50   | 4.9813          | 1.0 |
  | 5.724         | 11.11 | 100  | 4.8808          | 1.0 |
  | 5.629         | 16.63 | 150  | 4.9001          | 1.0 |
  | 5.3351        | 22.21 | 200  | 4.8457          | 1.0 |
  | 5.2043        | 27.74 | 250  | 4.8386          | 1.0 |
  | 5.1709        | 33.32 | 300  | 4.8647          | 1.0 |
  | 5.065         | 38.84 | 350  | 4.8574          | 1.0 |
  | 5.0685        | 44.42 | 400  | 4.8449          | 1.0 |
  | 5.0584        | 49.95 | 450  | 4.8412          | 1.0 |
  | 4.9626        | 55.53 | 500  | 4.8493          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  