metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: gyeongsan_1_6_model_50000WER
results: []
gyeongsan_1_6_model_50000WER
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1396
- Wer: 18.0750
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: 32
- eval_batch_size: 16
- 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: 50000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1764 | 0.2252 | 5000 | 0.1840 | 20.9807 |
| 0.1526 | 0.4503 | 10000 | 0.1684 | 19.8061 |
| 0.16 | 0.6755 | 15000 | 0.1586 | 19.3306 |
| 0.1449 | 0.9006 | 20000 | 0.1511 | 18.7879 |
| 0.1048 | 1.1258 | 25000 | 0.1485 | 18.9708 |
| 0.1045 | 1.3509 | 30000 | 0.1452 | 18.5721 |
| 0.0938 | 1.5761 | 35000 | 0.1410 | 18.1488 |
| 0.105 | 1.8012 | 40000 | 0.1379 | 17.8164 |
| 0.0629 | 2.0264 | 45000 | 0.1388 | 17.9810 |
| 0.0636 | 2.2515 | 50000 | 0.1396 | 18.0750 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1