| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - fleurs |
| metrics: |
| - wer |
| base_model: openai/whisper-large-v2 |
| model-index: |
| - name: whisper-large-v2-greek |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: fleurs |
| type: fleurs |
| config: el_gr |
| split: test |
| args: el_gr |
| metrics: |
| - type: wer |
| value: 0.17739223993006523 |
| name: Wer |
| --- |
| |
| <!-- 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-large-v2-greek |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2734 |
| - Wer Ortho: 0.2102 |
| - Wer: 0.1774 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 7 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 0.1809 | 1.0 | 274 | 0.2244 | 0.2261 | 0.1947 | |
| | 0.0977 | 2.0 | 549 | 0.2306 | 0.2204 | 0.1856 | |
| | 0.0594 | 3.0 | 824 | 0.2332 | 0.2137 | 0.1814 | |
| | 0.0454 | 4.0 | 1099 | 0.2667 | 0.2315 | 0.1985 | |
| | 0.028 | 5.0 | 1374 | 0.2579 | 0.2151 | 0.1822 | |
| | 0.022 | 6.0 | 1649 | 0.2674 | 0.2188 | 0.1863 | |
| | 0.0202 | 6.98 | 1918 | 0.2734 | 0.2102 | 0.1774 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
|
|
