readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-demo-M02-2
    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. -->
  
  # wav2vec2-demo-M02-2
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2709
  - Wer: 1.0860
  
  ## 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: 8
  - 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: 1000
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 23.4917       | 0.91  | 500   | 3.2945          | 1.0    |
  | 3.4102        | 1.81  | 1000  | 3.1814          | 1.0    |
  | 2.9438        | 2.72  | 1500  | 2.7858          | 1.0    |
  | 2.6698        | 3.62  | 2000  | 2.4745          | 1.0035 |
  | 1.9542        | 4.53  | 2500  | 1.8675          | 1.3745 |
  | 1.2737        | 5.43  | 3000  | 1.6459          | 1.3703 |
  | 0.9748        | 6.34  | 3500  | 1.8406          | 1.3037 |
  | 0.7696        | 7.25  | 4000  | 1.5086          | 1.2476 |
  | 0.6396        | 8.15  | 4500  | 1.8280          | 1.2476 |
  | 0.558         | 9.06  | 5000  | 1.7680          | 1.2247 |
  | 0.4865        | 9.96  | 5500  | 1.8210          | 1.2309 |
  | 0.4244        | 10.87 | 6000  | 1.7910          | 1.1775 |
  | 0.3898        | 11.78 | 6500  | 1.8021          | 1.1831 |
  | 0.3456        | 12.68 | 7000  | 1.7746          | 1.1456 |
  | 0.3349        | 13.59 | 7500  | 1.8969          | 1.1519 |
  | 0.3233        | 14.49 | 8000  | 1.7402          | 1.1234 |
  | 0.3046        | 15.4  | 8500  | 1.8585          | 1.1429 |
  | 0.2622        | 16.3  | 9000  | 1.6687          | 1.0950 |
  | 0.2593        | 17.21 | 9500  | 1.8192          | 1.1144 |
  | 0.2541        | 18.12 | 10000 | 1.8665          | 1.1110 |
  | 0.2098        | 19.02 | 10500 | 1.9996          | 1.1186 |
  | 0.2192        | 19.93 | 11000 | 2.0346          | 1.1040 |
  | 0.1934        | 20.83 | 11500 | 2.1924          | 1.1012 |
  | 0.2034        | 21.74 | 12000 | 1.8060          | 1.0929 |
  | 0.1857        | 22.64 | 12500 | 2.0334          | 1.0798 |
  | 0.1819        | 23.55 | 13000 | 2.1223          | 1.1040 |
  | 0.1621        | 24.46 | 13500 | 2.1795          | 1.0957 |
  | 0.1548        | 25.36 | 14000 | 2.1545          | 1.1089 |
  | 0.1512        | 26.27 | 14500 | 2.2707          | 1.1186 |
  | 0.1472        | 27.17 | 15000 | 2.1698          | 1.0888 |
  | 0.1296        | 28.08 | 15500 | 2.2496          | 1.0867 |
  | 0.1312        | 28.99 | 16000 | 2.2969          | 1.0881 |
  | 0.1331        | 29.89 | 16500 | 2.2709          | 1.0860 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.2
  