| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: exp_002_base_lora |
| 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_002_base_lora |
| |
| 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: 0.5781 |
| - Wer: 54.5829 |
| - Wer Ortho: 57.7728 |
| - Cer: 17.2107 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 32 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.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: 1000 |
| - training_steps: 10000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho | Cer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|:-------:| |
| | 2.364 | 0.05 | 500 | 1.3775 | 89.3018 | 90.4210 | 30.2665 | |
| | 1.9822 | 0.1 | 1000 | 1.0647 | 79.1535 | 81.1369 | 25.7959 | |
| | 1.773 | 0.15 | 1500 | 0.8929 | 71.8646 | 74.4727 | 22.9622 | |
| | 1.6612 | 1.044 | 2000 | 0.8104 | 68.2874 | 70.8852 | 20.9447 | |
| | 1.5587 | 1.094 | 2500 | 0.7594 | 65.4784 | 68.2362 | 20.1626 | |
| | 1.5063 | 1.144 | 3000 | 0.7234 | 63.3287 | 66.1393 | 19.5334 | |
| | 1.4318 | 2.038 | 3500 | 0.6917 | 61.0404 | 64.1920 | 19.0537 | |
| | 1.3879 | 2.088 | 4000 | 0.6697 | 59.6591 | 62.7346 | 18.5726 | |
| | 1.3831 | 2.138 | 4500 | 0.6524 | 58.5128 | 61.6924 | 17.9122 | |
| | 1.3231 | 3.032 | 5000 | 0.6385 | 59.3316 | 62.5270 | 19.6542 | |
| | 1.3064 | 3.082 | 5500 | 0.6270 | 58.2777 | 61.2398 | 18.6335 | |
| | 1.2766 | 3.132 | 6000 | 0.6143 | 56.9425 | 60.0897 | 18.0292 | |
| | 1.255 | 4.026 | 6500 | 0.6063 | 57.1315 | 60.3056 | 18.3886 | |
| | 1.2481 | 4.076 | 7000 | 0.5986 | 56.2203 | 59.3298 | 17.9156 | |
| | 1.2161 | 4.126 | 7500 | 0.5905 | 55.6115 | 58.8274 | 17.8844 | |
| | 1.2109 | 5.02 | 8000 | 0.5860 | 55.6535 | 58.8233 | 17.7709 | |
| | 1.2183 | 5.07 | 8500 | 0.5834 | 55.3218 | 58.5202 | 17.4484 | |
| | 1.1953 | 5.12 | 9000 | 0.5781 | 54.5829 | 57.7728 | 17.2107 | |
| | 1.1721 | 6.014 | 9500 | 0.5760 | 54.8012 | 57.9347 | 17.4963 | |
| | 1.1816 | 6.064 | 10000 | 0.5753 | 54.7718 | 57.8641 | 17.3142 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.48.3 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
