metadata
base_model: openai/whisper-large
datasets:
- Marcusxx/cheonanAddresses
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: cheonanAddresses_torch_large_model_model
results: []
cheonanAddresses_torch_large_model_model
This model is a fine-tuned version of openai/whisper-large on the Marcusxx/cheonanAddresses dataset. It achieves the following results on the evaluation set:
- Loss: 0.0534
- Cer: 1.8909
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: 100
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0757 | 0.3101 | 1000 | 0.0772 | 2.2598 |
| 0.0714 | 0.6202 | 2000 | 0.0720 | 2.3372 |
| 0.0624 | 0.9302 | 3000 | 0.0676 | 2.2765 |
| 0.0583 | 1.2403 | 4000 | 0.0642 | 2.2266 |
| 0.0611 | 1.5504 | 5000 | 0.0604 | 2.0681 |
| 0.0552 | 1.8605 | 6000 | 0.0590 | 2.1282 |
| 0.0497 | 2.1705 | 7000 | 0.0569 | 2.0233 |
| 0.0423 | 2.4806 | 8000 | 0.0560 | 1.9835 |
| 0.0495 | 2.7907 | 9000 | 0.0538 | 1.9387 |
| 0.0364 | 3.1008 | 10000 | 0.0534 | 1.8909 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1