metadata
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-large
datasets:
- Marcusxx/gwanju
model-index:
- name: gwanju_large_model
results: []
gwanju_large_model
This model is a fine-tuned version of openai/whisper-large on the Marcusxx/gwanju dataset. It achieves the following results on the evaluation set:
- Loss: 0.5238
- Cer: 238.8739
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: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2792 | 1.4819 | 5000 | 0.3803 | 453.3834 |
| 0.1361 | 2.9638 | 10000 | 0.3823 | 336.9865 |
| 0.0335 | 4.4458 | 15000 | 0.4644 | 344.2898 |
| 0.0097 | 5.9277 | 20000 | 0.5238 | 238.8739 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1