readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small_finetune_M01_2
    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. -->
  
  # small_finetune_M01_2
  
  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: 3.1910
  - 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: 0.001
  - train_batch_size: 15
  - 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: 600
  - num_epochs: 2000
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Wer |
  |:-------------:|:------:|:-----:|:---------------:|:---:|
  | 13.822        | 500.0  | 3000  | 2.7772          | 1.0 |
  | 0.8369        | 1000.0 | 6000  | 2.9828          | 1.0 |
  | 0.7474        | 1500.0 | 9000  | 3.1834          | 1.0 |
  | 0.7125        | 2000.0 | 12000 | 3.1910          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  