readme: ---
  language:
  - pl
  license: apache-2.0
  tags:
  - mls
  - google/xtreme_s
  - generated_from_trainer
  datasets:
  - xtreme_s
  model-index:
  - name: xtreme_s_xlsr_mls_upd
    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. -->
  
  # xtreme_s_xlsr_mls_upd
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/XTREME_S - MLS.PL dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1489
  - Wer: 1.0
  - Cer: 1.0
  
  ## 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: 32
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 2
  - total_train_batch_size: 64
  - total_eval_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
  | 3.4678        | 0.59  | 20   | 3.4581          | 1.0 | 1.0 |
  | 3.1713        | 1.18  | 40   | 3.1816          | 1.0 | 1.0 |
  | 3.134         | 1.76  | 60   | 3.1538          | 1.0 | 1.0 |
  | 3.132         | 2.35  | 80   | 3.1411          | 1.0 | 1.0 |
  | 3.1295        | 2.94  | 100  | 3.1373          | 1.0 | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0.dev0
  - Pytorch 1.10.2+cu113
  - Datasets 1.18.4.dev0
  - Tokenizers 0.11.6
  