metadata
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DianaJin/miniproject_train
- DianaJin/miniproject_test
model-index:
- name: jinkrsmodel
results: []
jinkrsmodel
This model is a fine-tuned version of openai/whisper-base on the ./whisper-mideum-kr dataset. It achieves the following results on the evaluation set:
- Loss: 5.7864
- Cer: 100.0
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: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.7143 | 50.0 | 100 | 4.6669 | 294.9367 |
| 0.0018 | 100.0 | 200 | 5.2253 | 100.0 |
| 0.0008 | 150.0 | 300 | 5.4916 | 100.0 |
| 0.0005 | 200.0 | 400 | 5.7864 | 100.0 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0