readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: run-003-wav2vec2-fulldata-cosine-lr3e-5
    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. -->
  
  # run-003-wav2vec2-fulldata-cosine-lr3e-5
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5035
  - Wer: 0.4341
  - Cer: 0.1243
  
  ## 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: 3e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 300
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | 2.4301        | 0.39  | 100  | 0.7775          | 0.5820 | 0.1682 |
  | 1.8776        | 0.79  | 200  | 0.6292          | 0.5209 | 0.1543 |
  | 1.5208        | 1.18  | 300  | 0.5577          | 0.4920 | 0.1503 |
  | 1.6757        | 1.57  | 400  | 0.5311          | 0.4823 | 0.1428 |
  | 1.0757        | 1.97  | 500  | 0.5124          | 0.4727 | 0.1353 |
  | 1.0868        | 2.36  | 600  | 0.5358          | 0.4855 | 0.1428 |
  | 0.8824        | 2.76  | 700  | 0.5295          | 0.4952 | 0.1410 |
  | 0.8172        | 3.15  | 800  | 0.4849          | 0.4727 | 0.1364 |
  | 0.7658        | 3.54  | 900  | 0.5115          | 0.4566 | 0.1335 |
  | 0.7963        | 3.94  | 1000 | 0.5086          | 0.4502 | 0.1277 |
  | 0.6881        | 4.33  | 1100 | 0.5143          | 0.4534 | 0.1295 |
  | 0.7293        | 4.72  | 1200 | 0.4994          | 0.4469 | 0.1249 |
  | 0.6114        | 5.12  | 1300 | 0.4979          | 0.4437 | 0.1254 |
  | 0.6665        | 5.51  | 1400 | 0.5122          | 0.4309 | 0.1272 |
  | 0.5425        | 5.91  | 1500 | 0.5148          | 0.4180 | 0.1237 |
  | 0.5751        | 6.3   | 1600 | 0.5131          | 0.4277 | 0.1243 |
  | 0.5583        | 6.69  | 1700 | 0.5103          | 0.4373 | 0.1237 |
  | 0.6278        | 7.09  | 1800 | 0.5035          | 0.4341 | 0.1243 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  