readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-english-TIMIT-phoneme_v3
    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_v3
  
  This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the TIMIT dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3697
  - Cer: 0.0987
  
  
  ## Training and evaluation data
  
  Training: TIMIT dataset training + validation set
  Evaluation: TIMIT dataset test set
  
  ## 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 | Per    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.2678        | 6.94  | 500  | 0.2347          | 0.0874 |
  | 0.25          | 13.88 | 1000 | 0.3358          | 0.1122 |
  | 0.2126        | 20.83 | 1500 | 0.3865          | 0.1131 |
  | 0.1397        | 27.77 | 2000 | 0.4162          | 0.1085 |
  | 0.0916        | 34.72 | 2500 | 0.4429          | 0.1086 |
  | 0.0594        | 41.66 | 3000 | 0.3697          | 0.0987 |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1.post201
  - Datasets 2.5.2.dev0
  - Tokenizers 0.12.1
  