metadata
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/gwanju2
model-index:
- name: gwanju2_m__model
results: []
gwanju2_m__model
This model is a fine-tuned version of openai/whisper-medium on the Marcusxx/gwanju2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5285
- Cer: 31.2542
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: 250
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4001 | 0.6046 | 2000 | 0.4109 | 181.6648 |
| 0.2492 | 1.2092 | 4000 | 0.3885 | 23.4726 |
| 0.25 | 1.8138 | 6000 | 0.3801 | 31.3821 |
| 0.1398 | 2.4184 | 8000 | 0.3955 | 23.6811 |
| 0.0733 | 3.0230 | 10000 | 0.4135 | 24.3813 |
| 0.0876 | 3.6276 | 12000 | 0.4193 | 23.1801 |
| 0.0402 | 4.2322 | 14000 | 0.4600 | 28.5421 |
| 0.0404 | 4.8368 | 16000 | 0.4663 | 26.3909 |
| 0.0152 | 5.4414 | 18000 | 0.5243 | 30.2673 |
| 0.0048 | 6.0459 | 20000 | 0.5285 | 31.2542 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1