| --- |
| language: |
| - ko |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - DragonLine/ksponspeech_05 |
| model-index: |
| - name: train05 |
| 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. --> |
|
|
| # train05 |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech_05 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4059 |
| - Cer: 13.3884 |
| |
| ## 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: 128 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.434 | 0.13 | 100 | 0.4239 | 14.0769 | |
| | 0.4208 | 0.25 | 200 | 0.4212 | 14.0593 | |
| | 0.4245 | 0.38 | 300 | 0.4196 | 13.9936 | |
| | 0.4173 | 0.51 | 400 | 0.4169 | 14.0972 | |
| | 0.4245 | 0.63 | 500 | 0.4147 | 14.0310 | |
| | 0.4103 | 0.76 | 600 | 0.4102 | 14.1257 | |
| | 0.4097 | 0.88 | 700 | 0.4059 | 13.3884 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.36.0.dev0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
