readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: whisper-medium-amksim
    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. -->
  
  # whisper-medium-amksim
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9089
  - Wer: 40.3433
  
  ## 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: 1e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 2
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 5
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 4.6349        | 0.83  | 5    | 3.7729          | 73.3906 |
  | 3.2338        | 1.67  | 10   | 1.4978          | 69.0987 |
  | 1.1335        | 2.5   | 15   | 1.1606          | 97.4249 |
  | 0.6838        | 3.33  | 20   | 1.0211          | 66.0944 |
  | 0.4383        | 4.17  | 25   | 0.9845          | 65.2361 |
  | 0.2514        | 5.0   | 30   | 0.9885          | 61.3734 |
  | 0.2053        | 5.83  | 35   | 0.9796          | 76.3948 |
  | 0.1353        | 6.67  | 40   | 0.9758          | 49.3562 |
  | 0.1142        | 7.5   | 45   | 0.9109          | 60.9442 |
  | 0.0889        | 8.33  | 50   | 0.9045          | 41.2017 |
  | 0.0854        | 9.17  | 55   | 0.9085          | 42.4893 |
  | 0.069         | 10.0  | 60   | 0.9089          | 40.3433 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.13.0
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  