| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - razhan/DOLMA-speech |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-base-lki |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: razhan/DOLMA-speech laki_kurdish |
| type: razhan/DOLMA-speech |
| args: laki_kurdish |
| metrics: |
| - name: Wer |
| type: wer |
| value: 1.008409596834034 |
| --- |
| |
| <!-- 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-lki |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech laki_kurdish dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8590 |
| - Wer: 1.0084 |
| - Cer: 0.5076 |
| |
| ## 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: 192 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 384 |
| - total_eval_batch_size: 256 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1 |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
| | No log | 1.0 | 2 | 4.0312 | 1.1143 | 0.5721 | |
| | No log | 2.0 | 4 | 4.0312 | 1.1143 | 0.5721 | |
| | No log | 3.0 | 6 | 4.0312 | 1.1143 | 0.5721 | |
| | No log | 4.0 | 8 | 3.4312 | 1.1106 | 0.5898 | |
| | 3.8716 | 5.0 | 10 | 2.8590 | 1.0084 | 0.5076 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.49.0.dev0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
