readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: retrain_first1epoch
    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. -->
  
  # retrain_first1epoch
  
  This model is a fine-tuned version of [alexziweiwang/exp21-uaspeech-foundation](https://huggingface.co/alexziweiwang/exp21-uaspeech-foundation) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 8.2238
  - Acc: 0.24
  - Wer: 1.0
  - Correct: 48
  - Total: 200
  - Strlen: 200
  
  ## 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: 9e-06
  - train_batch_size: 2
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc   | Wer    | Correct | Total | Strlen |
  |:-------------:|:-----:|:----:|:---------------:|:-----:|:------:|:-------:|:-----:|:------:|
  | No log        | 0.02  | 5    | 13.8048         | 0.22  | 1.0237 | 44      | 200   | 200    |
  | 12.2209       | 0.04  | 10   | 13.6869         | 0.22  | 1.0257 | 44      | 200   | 200    |
  | 12.2209       | 0.06  | 15   | 13.5691         | 0.225 | 1.0296 | 45      | 200   | 200    |
  | 12.4299       | 0.08  | 20   | 13.4590         | 0.24  | 1.0375 | 48      | 200   | 200    |
  | 12.4299       | 0.11  | 25   | 13.3508         | 0.235 | 1.0395 | 47      | 200   | 200    |
  | 11.0298       | 0.13  | 30   | 13.2241         | 0.25  | 1.0375 | 50      | 200   | 200    |
  | 11.0298       | 0.15  | 35   | 13.0757         | 0.245 | 1.0336 | 49      | 200   | 200    |
  | 10.5248       | 0.17  | 40   | 12.9277         | 0.245 | 1.0316 | 49      | 200   | 200    |
  | 10.5248       | 0.19  | 45   | 12.7784         | 0.25  | 1.0316 | 50      | 200   | 200    |
  | 10.8585       | 0.21  | 50   | 12.6346         | 0.25  | 1.0277 | 50      | 200   | 200    |
  | 10.8585       | 0.23  | 55   | 12.4939         | 0.25  | 1.0277 | 50      | 200   | 200    |
  | 10.7046       | 0.25  | 60   | 12.3472         | 0.25  | 1.0257 | 50      | 200   | 200    |
  | 10.7046       | 0.27  | 65   | 12.1962         | 0.25  | 1.0237 | 50      | 200   | 200    |
  | 10.8031       | 0.3   | 70   | 12.0537         | 0.25  | 1.0257 | 50      | 200   | 200    |
  | 10.8031       | 0.32  | 75   | 11.9088         | 0.25  | 1.0237 | 50      | 200   | 200    |
  | 10.859        | 0.34  | 80   | 11.7693         | 0.25  | 1.0257 | 50      | 200   | 200    |
  | 10.859        | 0.36  | 85   | 11.6214         | 0.25  | 1.0198 | 50      | 200   | 200    |
  | 9.7886        | 0.38  | 90   | 11.4699         | 0.25  | 1.0178 | 50      | 200   | 200    |
  | 9.7886        | 0.4   | 95   | 11.3182         | 0.25  | 1.0138 | 50      | 200   | 200    |
  | 10.4627       | 0.42  | 100  | 11.1609         | 0.25  | 1.0119 | 50      | 200   | 200    |
  | 10.4627       | 0.44  | 105  | 11.0017         | 0.25  | 1.0138 | 50      | 200   | 200    |
  | 10.0619       | 0.46  | 110  | 10.8520         | 0.25  | 1.0138 | 50      | 200   | 200    |
  | 10.0619       | 0.48  | 115  | 10.7096         | 0.25  | 1.0138 | 50      | 200   | 200    |
  | 8.7443        | 0.51  | 120  | 10.5629         | 0.25  | 1.0138 | 50      | 200   | 200    |
  | 8.7443        | 0.53  | 125  | 10.4111         | 0.25  | 1.0119 | 50      | 200   | 200    |
  | 9.675         | 0.55  | 130  | 10.2606         | 0.25  | 1.0119 | 50      | 200   | 200    |
  | 9.675         | 0.57  | 135  | 10.1125         | 0.245 | 1.0119 | 49      | 200   | 200    |
  | 9.1918        | 0.59  | 140  | 9.9708          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 9.1918        | 0.61  | 145  | 9.8248          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 9.6798        | 0.63  | 150  | 9.6785          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 9.6798        | 0.65  | 155  | 9.5309          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 9.0181        | 0.67  | 160  | 9.3867          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 9.0181        | 0.7   | 165  | 9.2432          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 7.7446        | 0.72  | 170  | 9.1053          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 7.7446        | 0.74  | 175  | 8.9743          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 8.0251        | 0.76  | 180  | 8.8538          | 0.24  | 1.0040 | 48      | 200   | 200    |
  | 8.0251        | 0.78  | 185  | 8.7473          | 0.24  | 1.0020 | 48      | 200   | 200    |
  | 7.9652        | 0.8   | 190  | 8.6516          | 0.24  | 1.0020 | 48      | 200   | 200    |
  | 7.9652        | 0.82  | 195  | 8.5661          | 0