| --- |
| language: |
| - el |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - AMoustakis/test-dataset |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Base Greek |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Test Dataset for greek language |
| type: AMoustakis/test-dataset |
| args: 'split: train' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 61.77777777777778 |
| --- |
| |
| <!-- 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 Base Greek |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Test Dataset for greek language dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2675 |
| - Wer: 61.7778 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 3 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.9014 | 1.0 | 4 | 0.5733 | 74.5185 | |
| | 0.4829 | 2.0 | 8 | 0.4158 | 64.4444 | |
| | 0.5963 | 3.0 | 12 | 0.3257 | 65.0370 | |
| | 0.3399 | 4.0 | 16 | 0.2857 | 61.7778 | |
| | 0.4436 | 5.0 | 20 | 0.2675 | 61.7778 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.40.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
