readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - filipino_voice
  model-index:
  - name: english-filipino-wav2vec2-l-xls-r-test-02
    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. -->
  
  # english-filipino-wav2vec2-l-xls-r-test-02
  
  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the filipino_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4561
  - Wer: 0.2632
  
  ## 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: 0.0003
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.1707        | 2.09  | 400  | 0.8006          | 0.8224 |
  | 0.4801        | 4.19  | 800  | 0.3363          | 0.4329 |
  | 0.2541        | 6.28  | 1200 | 0.3365          | 0.3676 |
  | 0.1851        | 8.38  | 1600 | 0.3485          | 0.3739 |
  | 0.1408        | 10.47 | 2000 | 0.3628          | 0.3420 |
  | 0.1098        | 12.57 | 2400 | 0.3979          | 0.3277 |
  | 0.1019        | 14.66 | 2800 | 0.4031          | 0.2896 |
  | 0.0887        | 16.75 | 3200 | 0.3977          | 0.3024 |
  | 0.0798        | 18.85 | 3600 | 0.3959          | 0.3129 |
  | 0.0671        | 20.94 | 4000 | 0.4489          | 0.3241 |
  | 0.0633        | 23.04 | 4400 | 0.4455          | 0.3026 |
  | 0.055         | 25.13 | 4800 | 0.4668          | 0.2910 |
  | 0.0523        | 27.23 | 5200 | 0.4670          | 0.2960 |
  | 0.0468        | 29.32 | 5600 | 0.4536          | 0.2781 |
  | 0.0392        | 31.41 | 6000 | 0.4612          | 0.2860 |
  | 0.0381        | 33.51 | 6400 | 0.4651          | 0.2841 |
  | 0.034         | 35.6  | 6800 | 0.4723          | 0.2716 |
  | 0.0315        | 37.7  | 7200 | 0.4546          | 0.2642 |
  | 0.0294        | 39.79 | 7600 | 0.4561          | 0.2632 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  