readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: w2v2-ami
    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. -->
  
  # w2v2-ami
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8686
  - Wer: 0.2861
  
  ## 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: 8
  - 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: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 5.6021        | 3.07  | 500  | 2.9176          | 0.9997 |
  | 2.5006        | 6.13  | 1000 | 1.0535          | 0.3617 |
  | 0.9926        | 9.2   | 1500 | 0.8614          | 0.3036 |
  | 0.809         | 12.27 | 2000 | 0.8676          | 0.2921 |
  | 0.73          | 15.34 | 2500 | 0.8190          | 0.2966 |
  | 0.6658        | 18.4  | 3000 | 0.8707          | 0.2900 |
  | 0.6295        | 21.47 | 3500 | 0.8660          | 0.2821 |
  | 0.6089        | 24.54 | 4000 | 0.8767          | 0.2829 |
  | 0.5974        | 27.61 | 4500 | 0.8686          | 0.2861 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  