readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: checkpoints
    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. -->
  
  # checkpoints
  
  This model is a fine-tuned version of [vumichien/wav2vec2-large-xlsr-japanese-hiragana](https://huggingface.co/vumichien/wav2vec2-large-xlsr-japanese-hiragana) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4134
  - Wer: 0.1884
  
  ## 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: 0.0003
  - train_batch_size: 3
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 6
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 75
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 1.4299        | 1.0   | 247   | 0.7608          | 0.4853 |
  | 0.8045        | 2.0   | 494   | 0.6603          | 0.4449 |
  | 0.6061        | 3.0   | 741   | 0.5527          | 0.4233 |
  | 0.4372        | 4.0   | 988   | 0.6262          | 0.4029 |
  | 0.3226        | 5.0   | 1235  | 0.4528          | 0.3462 |
  | 0.2581        | 6.0   | 1482  | 0.4961          | 0.3226 |
  | 0.2147        | 7.0   | 1729  | 0.4856          | 0.3075 |
  | 0.1736        | 8.0   | 1976  | 0.4372          | 0.3063 |
  | 0.1488        | 9.0   | 2223  | 0.3771          | 0.2761 |
  | 0.1286        | 10.0  | 2470  | 0.4373          | 0.2590 |
  | 0.1118        | 11.0  | 2717  | 0.3840          | 0.2594 |
  | 0.1037        | 12.0  | 2964  | 0.4241          | 0.2590 |
  | 0.0888        | 13.0  | 3211  | 0.4150          | 0.2410 |
  | 0.0923        | 14.0  | 3458  | 0.3811          | 0.2524 |
  | 0.0813        | 15.0  | 3705  | 0.4164          | 0.2459 |
  | 0.0671        | 16.0  | 3952  | 0.3498          | 0.2288 |
  | 0.0669        | 17.0  | 4199  | 0.3697          | 0.2247 |
  | 0.0586        | 18.0  | 4446  | 0.3550          | 0.2251 |
  | 0.0533        | 19.0  | 4693  | 0.4024          | 0.2231 |
  | 0.0542        | 20.0  | 4940  | 0.4130          | 0.2121 |
  | 0.0532        | 21.0  | 5187  | 0.3464          | 0.2231 |
  | 0.0451        | 22.0  | 5434  | 0.3346          | 0.1966 |
  | 0.0413        | 23.0  | 5681  | 0.4599          | 0.2088 |
  | 0.0401        | 24.0  | 5928  | 0.4031          | 0.2162 |
  | 0.0345        | 25.0  | 6175  | 0.3726          | 0.2084 |
  | 0.033         | 26.0  | 6422  | 0.4619          | 0.2076 |
  | 0.0366        | 27.0  | 6669  | 0.4071          | 0.2202 |
  | 0.0343        | 28.0  | 6916  | 0.4114          | 0.2088 |
  | 0.0319        | 29.0  | 7163  | 0.3605          | 0.2015 |
  | 0.0304        | 30.0  | 7410  | 0.4097          | 0.2015 |
  | 0.0253        | 31.0  | 7657  | 0.4152          | 0.1970 |
  | 0.0235        | 32.0  | 7904  | 0.3829          | 0.2043 |
  | 0.0255        | 33.0  | 8151  | 0.3976          | 0.2011 |
  | 0.0201        | 34.0  | 8398  | 0.4247          | 0.2088 |
  | 0.022         | 35.0  | 8645  | 0.3831          | 0.1945 |
  | 0.0175        | 36.0  | 8892  | 0.3838          | 0.2007 |
  | 0.0201        | 37.0  | 9139  | 0.4377          | 0.1986 |
  | 0.0176        | 38.0  | 9386  | 0.4546          | 0.2043 |
  | 0.021         | 39.0  | 9633  | 0.4341          | 0.2039 |
  | 0.0191        | 40.0  | 9880  | 0.4043          | 0.1937 |
  | 0.0159        | 41.0  | 10127 | 0.4098          | 0.2064 |
  | 0.0148        | 42.0  | 10374 | 0.4027          | 0.1905 |
  | 0.0129        | 43.0  | 10621 | 0.4104          | 0.1933 |
  | 0.0123        | 44.0  | 10868 | 0.3738          | 0.1925 |
  | 0.0159        | 45.0  | 11115 | 0.3946          | 0.1933 |
  | 0.0091        | 46.0  | 11362 | 0.3971          | 0.1880 |
  | 0.0082        | 47.0  | 11609 | 0.4042          | 0.1986 |
  | 0.0108        | 48.0  | 11856 | 0.4092          | 0.1884 |
  | 0.0123        | 49.0  | 12103 | 0.3674          | 0.1941 |
  | 0.01          | 50.0  | 12350 | 0.3750          | 0.1876 |
  | 0.0094        | 51.0  | 12597 | 0.3781          | 0.1831 |
  | 0.008         | 52.0  | 12844 | 0.4051          | 0.1852 |
  | 0.0079        | 53.0  | 13091 | 0.3981          | 0.1937 |
  | 0.0068        | 54.0  | 13338 | 0.4425          | 0.1929 |
  | 0.0061        | 55.0  | 13585 | 0.4183          | 0.1986 |
  | 0.0074        | 56.0  | 13832 | 0.3502          | 0.1880 |
  | 0.0071        | 57.0  | 14079 | 0.3908          | 0.1892 |
  | 0.0079        | 58.0  | 14326 | 0.3908          | 0.1913 |
  | 0.0042        | 59.0  | 14573 | 0.3801          | 0.1864 |
  | 0.0049        | 60.0  | 14820 | 0.4065          | 0.1839 |
  | 0.0063        | 61.0  | 1506