readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: 20220517-045629
    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. -->
  
  # 20220517-045629
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3700
  - Wer: 0.4581
  - Cer: 0.0854
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 1339
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | 5.238         | 0.29  | 200  | 3.1770          | 1.0    | 1.0    |
  | 2.165         | 0.59  | 400  | 0.7309          | 0.7144 | 0.1543 |
  | 0.7022        | 0.88  | 600  | 0.4614          | 0.5521 | 0.1058 |
  | 0.5114        | 1.17  | 800  | 0.4202          | 0.4998 | 0.0965 |
  | 0.4482        | 1.47  | 1000 | 0.3786          | 0.4645 | 0.0877 |
  | 0.4082        | 1.76  | 1200 | 0.3700          | 0.4581 | 0.0854 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0.dev0
  - Pytorch 1.10.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.11.6
  