readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: pure-start-epoch1
    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. -->
  
  # pure-start-epoch1
  
  This model is a fine-tuned version of [yongjian/wav2vec2-large-a](https://huggingface.co/yongjian/wav2vec2-large-a) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 21.0050
  - Acc: 0.095
  - Wer: 1.0
  - Correct: 19
  - 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    | 67.2752         | 0.0   | 1.0119 | 0       | 200   | 200    |
  | 131.0548      | 0.04  | 10   | 66.2796         | 0.0   | 1.0257 | 0       | 200   | 200    |
  | 131.0548      | 0.06  | 15   | 65.2071         | 0.005 | 1.0237 | 1       | 200   | 200    |
  | 145.0859      | 0.08  | 20   | 64.0987         | 0.035 | 1.0198 | 7       | 200   | 200    |
  | 145.0859      | 0.11  | 25   | 62.9734         | 0.07  | 1.0119 | 14      | 200   | 200    |
  | 110.0012      | 0.13  | 30   | 61.8288         | 0.09  | 1.0119 | 18      | 200   | 200    |
  | 110.0012      | 0.15  | 35   | 60.6565         | 0.09  | 1.0119 | 18      | 200   | 200    |
  | 122.6164      | 0.17  | 40   | 59.4606         | 0.095 | 1.0119 | 19      | 200   | 200    |
  | 122.6164      | 0.19  | 45   | 58.2224         | 0.095 | 1.0099 | 19      | 200   | 200    |
  | 125.942       | 0.21  | 50   | 56.9514         | 0.095 | 1.0020 | 19      | 200   | 200    |
  | 125.942       | 0.23  | 55   | 55.5923         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 111.2271      | 0.25  | 60   | 54.1423         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 111.2271      | 0.27  | 65   | 52.6174         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 137.2356      | 0.3   | 70   | 51.0340         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 137.2356      | 0.32  | 75   | 49.4034         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 112.2532      | 0.34  | 80   | 47.7291         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 112.2532      | 0.36  | 85   | 46.0281         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 88.3973       | 0.38  | 90   | 44.2361         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 88.3973       | 0.4   | 95   | 42.4925         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 88.7175       | 0.42  | 100  | 40.7673         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 88.7175       | 0.44  | 105  | 39.0848         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 90.857        | 0.46  | 110  | 37.4890         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 90.857        | 0.48  | 115  | 35.8966         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 77.5782       | 0.51  | 120  | 34.2822         | 0.1   | 1.0    | 20      | 200   | 200    |
  | 77.5782       | 0.53  | 125  | 32.7953         | 0.1   | 1.0    | 20      | 200   | 200    |
  | 80.2378       | 0.55  | 130  | 31.4560         | 0.1   | 1.0    | 20      | 200   | 200    |
  | 80.2378       | 0.57  | 135  | 30.1651         | 0.1   | 1.0    | 20      | 200   | 200    |
  | 73.5042       | 0.59  | 140  | 29.0069         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 73.5042       | 0.61  | 145  | 28.0349         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 71.5632       | 0.63  | 150  | 27.1812         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 71.5632       | 0.65  | 155  | 26.4012         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 76.5337       | 0.67  | 160  | 25.6924         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 76.5337       | 0.7   | 165  | 25.0184         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 54.6507       | 0.72  | 170  | 24.4100         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 54.6507       | 0.74  | 175  | 23.8273         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 57.1606       | 0.76  | 180  | 23.2988         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 57.1606       | 0.78  | 185  | 22.8731         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 56.0855       | 0.8   | 190  | 22.5336         | 0.095 | 1.0    | 19      | 200   | 200    |
  | 56.0855       | 0.82  | 195  | 22.2334         | 0.095 | 1.0    | 19      | 200 