| --- |
| language: |
| - ko |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper_finetune |
| 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. --> |
|
|
| # whisper_finetune |
| |
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the aihub_3 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3587 |
| - Cer: 11.8692 |
| - Wer: 34.6801 |
|
|
| ## 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: 32 |
| - 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: 500 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:| |
| | 0.267 | 0.4 | 500 | 11.9783 | 0.3521 | 35.1998 | |
| | 0.2392 | 0.8 | 1000 | 12.1614 | 0.3495 | 34.9449 | |
| | 0.171 | 1.2 | 1500 | 12.0633 | 0.3516 | 35.2048 | |
| | 0.1744 | 1.6 | 2000 | 0.3553 | 12.2091 | 35.0598 | |
| | 0.1722 | 2.0 | 2500 | 0.3515 | 12.0222 | 34.5426 | |
| | 0.1192 | 2.4 | 3000 | 0.3594 | 12.2281 | 35.4796 | |
| | 0.1249 | 2.8 | 3500 | 0.3609 | 12.0137 | 34.8949 | |
| | 0.0858 | 3.2 | 4000 | 0.3587 | 11.8692 | 34.6801 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0.dev0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
