| --- |
| 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: 0.4807 |
| - Cer: 14.7381 |
| - Wer: 40.8215 |
|
|
| ## 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 | Validation Loss | Cer | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.2038 | 0.4 | 500 | 0.4405 | 13.6475 | 39.1975 | |
| | 0.1892 | 0.8 | 1000 | 0.4491 | 14.5230 | 40.5892 | |
| | 0.1218 | 1.2 | 1500 | 0.4710 | 14.4216 | 40.2519 | |
| | 0.1227 | 1.6 | 2000 | 0.4879 | 14.3981 | 40.1969 | |
| | 0.1311 | 2.0 | 2500 | 0.4638 | 14.6655 | 40.9614 | |
| | 0.0945 | 2.4 | 3000 | 0.4783 | 14.6635 | 40.9190 | |
| | 0.0874 | 2.8 | 3500 | 0.4743 | 14.3360 | 40.4492 | |
| | 0.0759 | 3.2 | 4000 | 0.4807 | 14.7381 | 40.8215 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0.dev0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
