| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: openai/whisper-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: exp_003_base_frozen |
| | 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. --> |
| |
|
| | # exp_003_base_frozen |
| | |
| | This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1331 |
| | - Wer: 35.9827 |
| | - Wer Ortho: 38.8106 |
| | - Cer: 13.3048 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 64 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1000 |
| | - training_steps: 10000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho | Cer | |
| | |:-------------:|:-------:|:----:|:---------------:|:-------:|:---------:|:-------:| |
| | | 3.3664 | 0.6410 | 500 | 0.7780 | 70.2985 | 73.1122 | 21.4014 | |
| | | 2.4777 | 1.2821 | 1000 | 0.5469 | 56.7788 | 60.0050 | 17.5319 | |
| | | 2.0633 | 1.9231 | 1500 | 0.4300 | 48.2554 | 51.8306 | 15.0486 | |
| | | 1.6801 | 2.5641 | 2000 | 0.3588 | 44.1239 | 47.6042 | 14.2280 | |
| | | 1.3374 | 3.2051 | 2500 | 0.3044 | 40.7650 | 44.2131 | 13.0829 | |
| | | 1.2080 | 3.8462 | 3000 | 0.2580 | 39.0267 | 42.3347 | 12.9674 | |
| | | 0.9522 | 4.4872 | 3500 | 0.2196 | 37.2339 | 40.5644 | 12.4938 | |
| | | 0.7244 | 5.1282 | 4000 | 0.1886 | 37.2423 | 40.4023 | 13.0369 | |
| | | 0.6902 | 5.7692 | 4500 | 0.1677 | 36.5789 | 39.5254 | 12.6352 | |
| | | 0.5293 | 6.4103 | 5000 | 0.1495 | 36.4404 | 39.1639 | 12.6400 | |
| | | 0.4483 | 7.0513 | 5500 | 0.1331 | 35.9827 | 38.8106 | 13.3048 | |
| | | 0.3833 | 7.6923 | 6000 | 0.1220 | 36.6251 | 39.3841 | 13.2253 | |
| | | 0.2814 | 8.3333 | 6500 | 0.1151 | 36.9526 | 39.7124 | 13.4726 | |
| | | 0.2677 | 8.9744 | 7000 | 0.1067 | 36.5159 | 39.1930 | 14.1547 | |
| | | 0.1995 | 9.6154 | 7500 | 0.1029 | 37.5698 | 40.3358 | 14.3636 | |
| | | 0.1543 | 10.2564 | 8000 | 0.1013 | 37.2969 | 39.9493 | 13.7012 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 5.0.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.22.2 |
| |
|
