readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-TIMIT-IPA
    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-large-TIMIT-IPA
  
  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: 0.3130
  - Per: 0.0550
  
  ## 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: 64
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Per    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.3003        | 6.85  | 500  | 3.8093          | 0.9424 |
  | 1.7151        | 13.7  | 1000 | 0.2929          | 0.0708 |
  | 0.2212        | 20.55 | 1500 | 0.2259          | 0.0575 |
  | 0.1241        | 27.4  | 2000 | 0.2716          | 0.0595 |
  | 0.0917        | 34.25 | 2500 | 0.2902          | 0.0606 |
  | 0.0659        | 41.1  | 3000 | 0.2982          | 0.0570 |
  | 0.0532        | 47.95 | 3500 | 0.2770          | 0.0595 |
  | 0.0438        | 54.79 | 4000 | 0.2953          | 0.0579 |
  | 0.0368        | 61.64 | 4500 | 0.3151          | 0.0572 |
  | 0.0303        | 68.49 | 5000 | 0.3425          | 0.0576 |
  | 0.0281        | 75.34 | 5500 | 0.3065          | 0.0558 |
  | 0.0215        | 82.19 | 6000 | 0.3288          | 0.0558 |
  | 0.0185        | 89.04 | 6500 | 0.3288          | 0.0558 |
  | 0.018         | 95.89 | 7000 | 0.3130          | 0.0550 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.2.dev0
  - Tokenizers 0.12.1
  