readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base_toy_train_data_random_noise_0.1
    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_toy_train_data_random_noise_0.1
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9263
  - Wer: 0.7213
  
  ## 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: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.1296        | 2.1   | 250  | 3.5088          | 1.0    |
  | 3.0728        | 4.2   | 500  | 3.1694          | 1.0    |
  | 1.8686        | 6.3   | 750  | 1.3414          | 0.9321 |
  | 1.1241        | 8.4   | 1000 | 1.0196          | 0.8321 |
  | 0.8704        | 10.5  | 1250 | 0.9387          | 0.7962 |
  | 0.6734        | 12.6  | 1500 | 0.9309          | 0.7640 |
  | 0.5832        | 14.7  | 1750 | 0.9329          | 0.7346 |
  | 0.5207        | 16.8  | 2000 | 0.9060          | 0.7247 |
  | 0.4857        | 18.9  | 2250 | 0.9263          | 0.7213 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  