readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_10_0
  model-index:
  - name: wav2vec2-large-xls-r-300m-ja-colab
    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-xls-r-300m-ja-colab
  
  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: 1.1407
  - Wer: 0.2456
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 16
  - 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 637  | 5.3238          | 0.9663 |
  | No log        | 2.0   | 1274 | 4.1785          | 0.7662 |
  | No log        | 3.0   | 1911 | 2.3701          | 0.4983 |
  | No log        | 4.0   | 2548 | 1.8443          | 0.4090 |
  | 6.5781        | 5.0   | 3185 | 1.4892          | 0.3363 |
  | 6.5781        | 6.0   | 3822 | 1.3229          | 0.2995 |
  | 6.5781        | 7.0   | 4459 | 1.2418          | 0.2814 |
  | 6.5781        | 8.0   | 5096 | 1.1928          | 0.2647 |
  | 1.0184        | 9.0   | 5733 | 1.1584          | 0.2520 |
  | 1.0184        | 10.0  | 6370 | 1.1407          | 0.2456 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.10.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  