readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: m-ctc-t-german
    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. -->
  
  # m-ctc-t-german
  
  This model is a fine-tuned version of [speechbrain/m-ctc-t-large](https://huggingface.co/speechbrain/m-ctc-t-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 14.0387
  - Wer: 1.0000
  
  ## 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: 448
  - eval_batch_size: 448
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 896
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.1883        | 1.0   | 511  | 3.5192          | 1.0    |
  | 3.1097        | 2.0   | 1022 | 11.0713         | 1.0000 |
  | 3.0541        | 3.0   | 1533 | 14.0387         | 1.0000 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  