readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: super_large_finetune_M01
    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. -->
  
  # super_large_finetune_M01
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.9906
  - Wer: 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: 0.0001
  - train_batch_size: 20
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 35440
  - num_epochs: 200
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Wer |
  |:-------------:|:-----:|:------:|:---------------:|:---:|
  | 10.0626       | 20.0  | 70880  | 3.0307          | 1.0 |
  | 2.5319        | 40.0  | 141760 | 3.0316          | 1.0 |
  | 2.4978        | 60.0  | 212640 | 3.0123          | 1.0 |
  | 2.4849        | 80.0  | 283520 | 2.9923          | 1.0 |
  | 2.4776        | 100.0 | 354400 | 3.0092          | 1.0 |
  | 2.4733        | 120.0 | 425280 | 2.9964          | 1.0 |
  | 2.4702        | 140.0 | 496160 | 2.9968          | 1.0 |
  | 2.4686        | 160.0 | 567040 | 2.9937          | 1.0 |
  | 2.4669        | 180.0 | 637920 | 2.9908          | 1.0 |
  | 2.4661        | 200.0 | 708800 | 2.9906          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  