readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small_finetune_CM01
    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_CM01
  
  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: 1.9764
  - 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: 700
  - num_epochs: 2000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Wer |
  |:-------------:|:------:|:-----:|:---------------:|:---:|
  | 40.8946       | 100.0  | 700   | 3.6118          | 1.0 |
  | 3.1203        | 200.0  | 1400  | 3.4805          | 1.0 |
  | 2.2986        | 300.0  | 2100  | 2.6437          | 1.0 |
  | 1.9839        | 400.0  | 2800  | 2.3215          | 1.0 |
  | 1.7708        | 500.0  | 3500  | 2.2025          | 1.0 |
  | 1.6458        | 600.0  | 4200  | 2.1303          | 1.0 |
  | 1.5592        | 700.0  | 4900  | 2.0806          | 1.0 |
  | 1.4861        | 800.0  | 5600  | 2.0559          | 1.0 |
  | 1.4415        | 900.0  | 6300  | 2.0361          | 1.0 |
  | 1.3975        | 1000.0 | 7000  | 2.0248          | 1.0 |
  | 1.3595        | 1100.0 | 7700  | 2.0246          | 1.0 |
  | 1.3413        | 1200.0 | 8400  | 1.9947          | 1.0 |
  | 1.3142        | 1300.0 | 9100  | 2.0000          | 1.0 |
  | 1.2986        | 1400.0 | 9800  | 1.9909          | 1.0 |
  | 1.2823        | 1500.0 | 10500 | 1.9862          | 1.0 |
  | 1.2724        | 1600.0 | 11200 | 1.9851          | 1.0 |
  | 1.2588        | 1700.0 | 11900 | 1.9862          | 1.0 |
  | 1.2599        | 1800.0 | 12600 | 1.9800          | 1.0 |
  | 1.2536        | 1900.0 | 13300 | 1.9788          | 1.0 |
  | 1.2551        | 2000.0 | 14000 | 1.9764          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  