| --- |
| 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-hac-telegram |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: razhan/DOLMA-speech gilaki |
| type: razhan/DOLMA-speech |
| args: gilaki |
| metrics: |
| - name: Wer |
| type: wer |
| value: 1.0472082810539523 |
| --- |
| |
| <!-- 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-hac-telegram |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech gilaki dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6806 |
| - Wer: 1.0472 |
| - Cer: 0.5468 |
|
|
| ## 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: 256 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 512 |
| - 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: 100 |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
| | No log | 1.0 | 6 | 3.5224 | 1.1311 | 0.5560 | |
| | 2.4889 | 2.0 | 12 | 3.4807 | 1.0566 | 0.5018 | |
| | 2.4889 | 3.0 | 18 | 3.2108 | 1.0561 | 0.4986 | |
| | 2.3707 | 4.0 | 24 | 2.9445 | 1.0583 | 0.5155 | |
| | 2.0528 | 5.0 | 30 | 2.6806 | 1.0472 | 0.5468 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.49.0.dev0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
