readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - uob_singlish
  model-index:
  - name: Malaya-speech_fine-tune_MrBrown_20_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. -->
  
  # Malaya-speech_fine-tune_MrBrown_20_Jun
  
  This model is a fine-tuned version of [malay-huggingface/wav2vec2-xls-r-300m-mixed](https://huggingface.co/malay-huggingface/wav2vec2-xls-r-300m-mixed) on the uob_singlish dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8868
  - Wer: 0.3244
  
  ## 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
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.8027        | 3.85  | 200  | 0.4800          | 0.2852 |
  | 0.3773        | 7.69  | 400  | 0.6292          | 0.3316 |
  | 0.3394        | 11.54 | 600  | 0.7376          | 0.3494 |
  | 0.2653        | 15.38 | 800  | 0.9595          | 0.3137 |
  | 0.1785        | 19.23 | 1000 | 0.7381          | 0.3440 |
  | 0.1669        | 23.08 | 1200 | 0.9534          | 0.3529 |
  | 0.0971        | 26.92 | 1400 | 0.8868          | 0.3244 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  