| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: openai/whisper-large-v2 |
| datasets: |
| - common_voice_16_1 |
| model-index: |
| - name: arab |
| 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. --> |
|
|
| # arab |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_16_1 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4437 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 25 |
| - training_steps: 50 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | No log | 0.0267 | 10 | 0.4333 | |
| | No log | 0.0533 | 20 | 0.4281 | |
| | 0.141 | 0.08 | 30 | 0.4360 | |
| | 0.141 | 0.1067 | 40 | 0.4509 | |
| | 0.1724 | 0.1333 | 50 | 0.4437 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.11.2.dev0 |
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
