readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_10_0
  model-index:
  - name: fine-tune-Wav2Vec2-XLS-R-300M-Indonesia-test
    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. -->
  
  # fine-tune-Wav2Vec2-XLS-R-300M-Indonesia-test
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_10_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3076
  - Wer: 0.2971
  
  ## 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: 7
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 14
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 60
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.9436        | 9.99  | 570  | 2.7467          | 1.0    |
  | 1.0498        | 19.99 | 1140 | 0.3630          | 0.3965 |
  | 0.6789        | 29.99 | 1710 | 0.3396          | 0.3712 |
  | 0.5259        | 39.99 | 2280 | 0.3204          | 0.3241 |
  | 0.4701        | 49.99 | 2850 | 0.3118          | 0.3005 |
  | 0.4248        | 59.99 | 3420 | 0.3076          | 0.2971 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.10.0+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  