readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: languagemodel
    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. -->
  
  # languagemodel
  
  This model is a fine-tuned version of [monideep2255/XLRS-torgo](https://huggingface.co/monideep2255/XLRS-torgo) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: inf
  - Wer: 1.1173
  
  ## 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: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.3015        | 3.12  | 400  | inf             | 1.3984 |
  | 0.6892        | 6.25  | 800  | inf             | 1.1059 |
  | 0.5069        | 9.37  | 1200 | inf             | 1.0300 |
  | 0.3596        | 12.5  | 1600 | inf             | 1.0830 |
  | 0.2571        | 15.62 | 2000 | inf             | 1.1981 |
  | 0.198         | 18.75 | 2400 | inf             | 1.1009 |
  | 0.1523        | 21.87 | 2800 | inf             | 1.1803 |
  | 0.1112        | 25.0  | 3200 | inf             | 1.0429 |
  | 0.08          | 28.12 | 3600 | inf             | 1.1173 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.1
  