readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: med_v1_M07
    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_M07
  
  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: 3.0346
  - Wer: 1.0
  - Cer: 0.9247
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:---:|:------:|
  | 40.0631       | 5.0   | 2575  | 3.4774          | 1.0 | 1.0    |
  | 3.1345        | 10.0  | 5150  | 3.2955          | 1.0 | 0.9983 |
  | 2.8502        | 15.0  | 7725  | 3.1890          | 1.0 | 0.9922 |
  | 2.7005        | 20.0  | 10300 | 3.0885          | 1.0 | 0.9784 |
  | 2.6038        | 25.0  | 12875 | 3.0523          | 1.0 | 0.9628 |
  | 2.5369        | 30.0  | 15450 | 3.0120          | 1.0 | 0.9506 |
  | 2.4897        | 35.0  | 18025 | 3.0113          | 1.0 | 0.9463 |
  | 2.4539        | 40.0  | 20600 | 3.0255          | 1.0 | 0.9411 |
  | 2.4249        | 45.0  | 23175 | 2.9973          | 1.0 | 0.9377 |
  | 2.401         | 50.0  | 25750 | 3.0020          | 1.0 | 0.9351 |
  | 2.3787        | 55.0  | 28325 | 3.0206          | 1.0 | 0.9359 |
  | 2.3686        | 60.0  | 30900 | 3.0332          | 1.0 | 0.9333 |
  | 2.3519        | 65.0  | 33475 | 3.0239          | 1.0 | 0.9307 |
  | 2.3448        | 70.0  | 36050 | 3.0209          | 1.0 | 0.9247 |
  | 2.3341        | 75.0  | 38625 | 3.0215          | 1.0 | 0.9273 |
  | 2.3214        | 80.0  | 41200 | 3.0338          | 1.0 | 0.9290 |
  | 2.3182        | 85.0  | 43775 | 3.0332          | 1.0 | 0.9281 |
  | 2.3169        | 90.0  | 46350 | 3.0343          | 1.0 | 0.9238 |
  | 2.313         | 95.0  | 48925 | 3.0355          | 1.0 | 0.9247 |
  | 2.3115        | 100.0 | 51500 | 3.0346          | 1.0 | 0.9247 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  