readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-base-checkpoint-9
    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. -->
  
  # wav2vec2-base-checkpoint-9
  
  This model is a fine-tuned version of [jiobiala24/wav2vec2-base-checkpoint-8](https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-8) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9203
  - Wer: 0.3258
  
  ## 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: 0.0001
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2783        | 1.58  | 1000  | 0.5610          | 0.3359 |
  | 0.2251        | 3.16  | 2000  | 0.5941          | 0.3374 |
  | 0.173         | 4.74  | 3000  | 0.6026          | 0.3472 |
  | 0.1475        | 6.32  | 4000  | 0.6750          | 0.3482 |
  | 0.1246        | 7.9   | 5000  | 0.6673          | 0.3414 |
  | 0.1081        | 9.48  | 6000  | 0.7072          | 0.3409 |
  | 0.1006        | 11.06 | 7000  | 0.7413          | 0.3392 |
  | 0.0879        | 12.64 | 8000  | 0.7831          | 0.3394 |
  | 0.0821        | 14.22 | 9000  | 0.7371          | 0.3333 |
  | 0.0751        | 15.8  | 10000 | 0.8321          | 0.3445 |
  | 0.0671        | 17.38 | 11000 | 0.8362          | 0.3357 |
  | 0.0646        | 18.96 | 12000 | 0.8709          | 0.3367 |
  | 0.0595        | 20.54 | 13000 | 0.8352          | 0.3321 |
  | 0.0564        | 22.12 | 14000 | 0.8854          | 0.3323 |
  | 0.052         | 23.7  | 15000 | 0.9031          | 0.3315 |
  | 0.0485        | 25.28 | 16000 | 0.9171          | 0.3278 |
  | 0.046         | 26.86 | 17000 | 0.9390          | 0.3254 |
  | 0.0438        | 28.44 | 18000 | 0.9203          | 0.3258 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  