readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small_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. -->
  
  # small_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: 3.2363
  - 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: 0.0002
  - 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: 800
  - num_epochs: 4000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Wer |
  |:-------------:|:------:|:-----:|:---------------:|:---:|
  | 121.7217      | 200.0  | 800   | 3.1742          | 1.0 |
  | 2.066         | 400.0  | 1600  | 2.8390          | 1.0 |
  | 1.7019        | 600.0  | 2400  | 2.8359          | 1.0 |
  | 1.5282        | 800.0  | 3200  | 2.8655          | 1.0 |
  | 1.4089        | 1000.0 | 4000  | 2.8933          | 1.0 |
  | 1.3123        | 1200.0 | 4800  | 2.9047          | 1.0 |
  | 1.2361        | 1400.0 | 5600  | 2.9677          | 1.0 |
  | 1.1758        | 1600.0 | 6400  | 3.0008          | 1.0 |
  | 1.1241        | 1800.0 | 7200  | 3.0795          | 1.0 |
  | 1.0816        | 2000.0 | 8000  | 3.1214          | 1.0 |
  | 1.0497        | 2200.0 | 8800  | 3.1518          | 1.0 |
  | 1.0349        | 2400.0 | 9600  | 3.1584          | 1.0 |
  | 1.0058        | 2600.0 | 10400 | 3.1876          | 1.0 |
  | 0.9983        | 2800.0 | 11200 | 3.1843          | 1.0 |
  | 0.9863        | 3000.0 | 12000 | 3.1914          | 1.0 |
  | 0.9776        | 3200.0 | 12800 | 3.2005          | 1.0 |
  | 0.9647        | 3400.0 | 13600 | 3.2245          | 1.0 |
  | 0.9586        | 3600.0 | 14400 | 3.2352          | 1.0 |
  | 0.9521        | 3800.0 | 15200 | 3.2398          | 1.0 |
  | 0.9537        | 4000.0 | 16000 | 3.2363          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  