readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: large_base_M08
    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. -->
  
  # large_base_M08
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0553
  - Wer: 1.0
  - Cer: 0.8260
  
  ## 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: 0.0001
  - train_batch_size: 20
  - 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: 17080
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Wer | Cer    |
  |:-------------:|:-----:|:------:|:---------------:|:---:|:------:|
  | 8.55          | 20.0  | 68320  | 2.2120          | 1.0 | 0.8433 |
  | 2.7106        | 40.0  | 136640 | 2.1153          | 1.0 | 0.8329 |
  | 2.6764        | 60.0  | 204960 | 2.0673          | 1.0 | 0.8294 |
  | 2.664         | 80.0  | 273280 | 2.0591          | 1.0 | 0.8268 |
  | 2.6581        | 100.0 | 341600 | 2.0553          | 1.0 | 0.8260 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  