readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base960-english-phoneme_v2
    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. -->
  
  # wav2vec2-base960-english-phoneme_v2
  
  This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4069
  - Cer: 0.0900
  
  ## 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: 32
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.18          | 6.94  | 500  | 0.3118          | 0.0923 |
  | 0.2622        | 13.88 | 1000 | 0.4387          | 0.1218 |
  | 0.2145        | 20.83 | 1500 | 0.4441          | 0.1121 |
  | 0.1429        | 27.77 | 2000 | 0.4001          | 0.1045 |
  | 0.0927        | 34.72 | 2500 | 0.4692          | 0.1062 |
  | 0.0598        | 41.66 | 3000 | 0.3960          | 0.0971 |
  | 0.0356        | 48.61 | 3500 | 0.4069          | 0.0900 |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1.post201
  - Datasets 2.5.2.dev0
  - Tokenizers 0.12.1
  