readme: ---
  language:
  - el
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper medium Greek El Greco
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 el
        type: mozilla-foundation/common_voice_11_0
        config: el
        split: test
        args: el
      metrics:
      - name: Wer
        type: wer
        value: 9.899702823179792
  ---
  
  <!-- 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 Greek El Greco
  
  This model is a fine-tuned version of [emilios/whisper-medium-el-n2](https://huggingface.co/emilios/whisper-medium-el-n2) on the mozilla-foundation/common_voice_11_0 el dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5669
  - Wer: 9.8997
  
  ## 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: 3e-06
  - train_batch_size: 32
  - eval_batch_size: 16
  - seed: 42
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 11000
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Wer     |
  |:-------------:|:------:|:-----:|:---------------:|:-------:|
  | 0.0014        | 58.82  | 1000  | 0.4951          | 10.3640 |
  | 0.0006        | 117.65 | 2000  | 0.5181          | 10.2805 |
  | 0.0007        | 175.82 | 3000  | 0.5317          | 10.1133 |
  | 0.0004        | 234.65 | 4000  | 0.5396          | 10.1226 |
  | 0.0004        | 293.47 | 5000  | 0.5532          | 10.1040 |
  | 0.0013        | 352.29 | 6000  | 0.5645          | 10.0854 |
  | 0.0002        | 411.12 | 7000  | 0.5669          | 10.1133 |
  | 0.0001        | 469.94 | 8000  | 0.5669          | 9.8997  |
  | 0.0001        | 528.76 | 9000  | 0.5645          | 9.9276  |
  | 0.0001        | 587.82 | 10000 | 0.5674          | 9.9647  |
  | 0.0003        | 646.82 | 11000 | 0.5669          | 9.9461  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 2.0.0.dev20221216+cu116
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  