metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-ko-1195h
results: []
whisper-medium-ko-1195h
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1552
- Wer: 8.6411
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 59151
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0782 | 0.33 | 6572 | 0.1833 | 10.9268 |
| 0.07 | 0.67 | 13144 | 0.1680 | 10.3611 |
| 0.0605 | 1.0 | 19716 | 0.1600 | 9.9357 |
| 0.0345 | 1.33 | 26288 | 0.1573 | 9.4492 |
| 0.0365 | 1.67 | 32860 | 0.1518 | 9.3395 |
| 0.0339 | 2.0 | 39432 | 0.1478 | 8.9811 |
| 0.0176 | 2.33 | 46004 | 0.1596 | 9.1702 |
| 0.0159 | 2.67 | 52576 | 0.1572 | 8.6746 |
| 0.0141 | 3.0 | 59148 | 0.1552 | 8.6411 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2