| --- |
| language: |
| - ko |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - DianaJin/sample |
| model-index: |
| - name: jinkrsmodel |
| 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. --> |
|
|
| # jinkrsmodel |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the DianaJin/voice dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2017 |
| - Cer: 134.5133 |
|
|
| ## 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 5 |
| - training_steps: 40 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 3.33 | 10 | 2.1701 | 13.2743 | |
| | No log | 6.67 | 20 | 1.3824 | 55.3097 | |
| | 1.7663 | 10.0 | 30 | 1.2305 | 164.1593 | |
| | 1.7663 | 13.33 | 40 | 1.2017 | 134.5133 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.0.dev0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
