readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-base-checkpoint-7.1
    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-7.1
  
  This model is a fine-tuned version of [jiobiala24/wav2vec2-base-checkpoint-6](https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-6) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9369
  - Wer: 0.3243
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.3124        | 1.75  | 1000  | 0.5602          | 0.3403 |
  | 0.2428        | 3.5   | 2000  | 0.5924          | 0.3431 |
  | 0.1884        | 5.24  | 3000  | 0.6161          | 0.3423 |
  | 0.1557        | 6.99  | 4000  | 0.6570          | 0.3415 |
  | 0.1298        | 8.74  | 5000  | 0.6837          | 0.3446 |
  | 0.1141        | 10.49 | 6000  | 0.7304          | 0.3396 |
  | 0.1031        | 12.24 | 7000  | 0.7264          | 0.3410 |
  | 0.0916        | 13.99 | 8000  | 0.7229          | 0.3387 |
  | 0.0835        | 15.73 | 9000  | 0.8078          | 0.3458 |
  | 0.0761        | 17.48 | 10000 | 0.8304          | 0.3408 |
  | 0.0693        | 19.23 | 11000 | 0.8290          | 0.3387 |
  | 0.0646        | 20.98 | 12000 | 0.8593          | 0.3372 |
  | 0.0605        | 22.73 | 13000 | 0.8728          | 0.3345 |
  | 0.0576        | 24.48 | 14000 | 0.9111          | 0.3297 |
  | 0.0529        | 26.22 | 15000 | 0.9247          | 0.3273 |
  | 0.0492        | 27.97 | 16000 | 0.9248          | 0.3250 |
  | 0.0472        | 29.72 | 17000 | 0.9369          | 0.3243 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  