readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - uob_singlish
  model-index:
  - name: wav2vec2-large-960h-lv60-self-4-gram_fine-tune_real_29_Jun
    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-960h-lv60-self-4-gram_fine-tune_real_29_Jun
  
  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 uob_singlish dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2895
  - Wer: 0.4583
  
  ## 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: 0.0002
  - train_batch_size: 2
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.1283        | 1.82  | 20   | 1.5236          | 0.5764 |
  | 1.3015        | 3.64  | 40   | 1.2956          | 0.4931 |
  | 0.9918        | 5.45  | 60   | 1.3087          | 0.5347 |
  | 0.849         | 7.27  | 80   | 1.2914          | 0.5139 |
  | 0.6191        | 9.09  | 100  | 1.2895          | 0.4583 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  