readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: test-model-lg-data
    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. -->
  
  # test-model-lg-data
  
  This model is a fine-tuned version of [Monsia/test-model-lg-data](https://huggingface.co/Monsia/test-model-lg-data) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3354
  - Wer: 0.4150
  
  ## 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: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 200
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0236        | 0.67  | 100  | 0.4048          | 0.4222 |
  | 0.0304        | 1.35  | 200  | 0.4266          | 0.4809 |
  | 0.0545        | 2.03  | 300  | 0.4309          | 0.4735 |
  | 0.0415        | 2.7   | 400  | 0.4269          | 0.4595 |
  | 0.033         | 3.38  | 500  | 0.4085          | 0.4537 |
  | 0.0328        | 4.05  | 600  | 0.3642          | 0.4224 |
  | 0.0414        | 4.73  | 700  | 0.3354          | 0.4150 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  