readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: XLS-R_Finetuned
    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. -->
  
  # XLS-R_Finetuned
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2280
  - Wer: 0.1725
  
  ## 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: 0.00024
  - train_batch_size: 1
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 2
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 800
  - num_epochs: 25
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 6.0094        | 0.32  | 500   | 3.5637          | 1.0    |
  | 3.3935        | 0.64  | 1000  | 2.6589          | 1.0    |
  | 1.5455        | 0.95  | 1500  | 0.7979          | 0.8225 |
  | 0.9065        | 1.27  | 2000  | 0.5392          | 0.6244 |
  | 0.7891        | 1.59  | 2500  | 0.3554          | 0.4551 |
  | 0.7118        | 1.91  | 3000  | 0.3682          | 0.4608 |
  | 0.6061        | 2.23  | 3500  | 0.3384          | 0.4416 |
  | 0.5536        | 2.54  | 4000  | 0.2987          | 0.4042 |
  | 0.547         | 2.86  | 4500  | 0.2892          | 0.3892 |
  | 0.4841        | 3.18  | 5000  | 0.2890          | 0.3690 |
  | 0.4434        | 3.5   | 5500  | 0.2605          | 0.3636 |
  | 0.4542        | 3.81  | 6000  | 0.2932          | 0.3773 |
  | 0.4171        | 4.13  | 6500  | 0.2768          | 0.3550 |
  | 0.3697        | 4.45  | 7000  | 0.2443          | 0.3382 |
  | 0.3776        | 4.77  | 7500  | 0.2572          | 0.3366 |
  | 0.3448        | 5.09  | 8000  | 0.2267          | 0.3006 |
  | 0.3285        | 5.4   | 8500  | 0.2377          | 0.3023 |
  | 0.3165        | 5.72  | 9000  | 0.2344          | 0.2888 |
  | 0.3194        | 6.04  | 9500  | 0.2228          | 0.2699 |
  | 0.2737        | 6.36  | 10000 | 0.2201          | 0.2754 |
  | 0.2986        | 6.68  | 10500 | 0.2413          | 0.2850 |
  | 0.2836        | 6.99  | 11000 | 0.2117          | 0.2629 |
  | 0.2467        | 7.31  | 11500 | 0.2408          | 0.2877 |
  | 0.2577        | 7.63  | 12000 | 0.2134          | 0.2448 |
  | 0.2503        | 7.95  | 12500 | 0.2260          | 0.2600 |
  | 0.2371        | 8.26  | 13000 | 0.2081          | 0.2379 |
  | 0.2303        | 8.58  | 13500 | 0.2322          | 0.2668 |
  | 0.213         | 8.9   | 14000 | 0.2339          | 0.2586 |
  | 0.2029        | 9.22  | 14500 | 0.2300          | 0.2704 |
  | 0.2146        | 9.54  | 15000 | 0.2321          | 0.2533 |
  | 0.2044        | 9.85  | 15500 | 0.2393          | 0.2685 |
  | 0.2008        | 10.17 | 16000 | 0.2193          | 0.2467 |
  | 0.182         | 10.49 | 16500 | 0.2323          | 0.2611 |
  | 0.2           | 10.81 | 17000 | 0.2188          | 0.2537 |
  | 0.1855        | 11.13 | 17500 | 0.2436          | 0.2523 |
  | 0.1745        | 11.44 | 18000 | 0.2351          | 0.2473 |
  | 0.1705        | 11.76 | 18500 | 0.2556          | 0.2663 |
  | 0.1745        | 12.08 | 19000 | 0.2189          | 0.2229 |
  | 0.1641        | 12.4  | 19500 | 0.2192          | 0.2342 |
  | 0.1546        | 12.71 | 20000 | 0.2432          | 0.2228 |
  | 0.1661        | 13.03 | 20500 | 0.2323          | 0.2242 |
  | 0.1436        | 13.35 | 21000 | 0.2554          | 0.2496 |
  | 0.1443        | 13.67 | 21500 | 0.2195          | 0.2026 |
  | 0.151         | 13.99 | 22000 | 0.2400          | 0.2201 |
  | 0.1333        | 14.3  | 22500 | 0.2181          | 0.2235 |
  | 0.137         | 14.62 | 23000 | 0.2400          | 0.2254 |
  | 0.1303        | 14.94 | 23500 | 0.2265          | 0.2088 |
  | 0.1386        | 15.26 | 24000 | 0.2330          | 0.2152 |
  | 0.1325        | 15.58 | 24500 | 0.2328          | 0.2127 |
  | 0.1227        | 15.89 | 25000 | 0.2375          | 0.2077 |
  | 0.1196        | 16.21 | 25500 | 0.2394          | 0.2144 |
  | 0.1197        | 16.53 | 26000 | 0.2591          | 0.2171 |
  | 0.1122        | 16.85 | 26500 | 0.2383          | 0.2066 |
  | 0.1093        | 17.16 | 27000 | 0.2254          | 0.2042 |
  | 0.105         | 17.48 | 27500 | 0.2330          | 0.2008 |
  | 0.0982        | 17.8  | 28000 | 0.2317          | 0.1902 |
  | 0.1072        | 18.12 | 28500 | 0.2332          | 0.1971 |
  | 0.1033        | 18.44 | 29000 | 0.2313          | 0.1923 |
  | 0.0982        | 18.75 | 29500 | 0.2344          | 0.1934 |
  | 0.103         | 19.07 | 30000 | 0.2295          | 0.1902 |
  | 0.0945        | 19.39 | 30500 | 0.2352    