readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: med_v1_M05
    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. -->
  
  # med_v1_M05
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.6774
  - Wer: 1.0
  - Cer: 0.8996
  
  ## 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: 0.0002
  - train_batch_size: 10
  - 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: 2575
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:---:|:------:|
  | 44.6314       | 5.0   | 2575  | 3.8187          | 1.0 | 1.0    |
  | 3.2116        | 10.0  | 5150  | 3.9616          | 1.0 | 0.9957 |
  | 2.9315        | 15.0  | 7725  | 3.7222          | 1.0 | 0.9844 |
  | 2.6931        | 20.0  | 10300 | 3.6458          | 1.0 | 0.9775 |
  | 2.557         | 25.0  | 12875 | 3.6697          | 1.0 | 0.9576 |
  | 2.4757        | 30.0  | 15450 | 3.6671          | 1.0 | 0.9446 |
  | 2.4201        | 35.0  | 18025 | 3.7050          | 1.0 | 0.9403 |
  | 2.3807        | 40.0  | 20600 | 3.6993          | 1.0 | 0.9359 |
  | 2.3523        | 45.0  | 23175 | 3.6753          | 1.0 | 0.9212 |
  | 2.3284        | 50.0  | 25750 | 3.6720          | 1.0 | 0.9212 |
  | 2.3104        | 55.0  | 28325 | 3.6742          | 1.0 | 0.9152 |
  | 2.2964        | 60.0  | 30900 | 3.6970          | 1.0 | 0.9100 |
  | 2.2833        | 65.0  | 33475 | 3.6954          | 1.0 | 0.9108 |
  | 2.2713        | 70.0  | 36050 | 3.7118          | 1.0 | 0.9065 |
  | 2.2667        | 75.0  | 38625 | 3.7006          | 1.0 | 0.9022 |
  | 2.2606        | 80.0  | 41200 | 3.6913          | 1.0 | 0.9074 |
  | 2.252         | 85.0  | 43775 | 3.6884          | 1.0 | 0.9013 |
  | 2.2513        | 90.0  | 46350 | 3.6858          | 1.0 | 0.9039 |
  | 2.251         | 95.0  | 48925 | 3.6737          | 1.0 | 0.8978 |
  | 2.2455        | 100.0 | 51500 | 3.6774          | 1.0 | 0.8996 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  