metadata
language:
- ko
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v2
datasets:
- Bingsu/zeroth-korean
model-index:
- name: Whisper large-v2 Korean - ML_project_voice2text_largev2
results: []
Whisper large-v2 Korean - ML_project_voice2text_largev2
This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0754
- Cer: 1.7235
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: 0.001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2673 | 0.1797 | 1000 | 0.2870 | 8.9863 |
| 0.2145 | 0.3593 | 2000 | 0.2292 | 6.1204 |
| 0.1762 | 0.5390 | 3000 | 0.1896 | 16.8891 |
| 0.1408 | 0.7186 | 4000 | 0.1579 | 4.1889 |
| 0.1077 | 0.8983 | 5000 | 0.1229 | 4.1104 |
| 0.0763 | 1.0780 | 6000 | 0.0978 | 3.4940 |
| 0.0414 | 1.2576 | 7000 | 0.0832 | 2.2456 |
| 0.0336 | 1.4373 | 8000 | 0.0754 | 1.7235 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1