metadata
license: apache-2.0
base_model: byoussef/whisper-large-v2-Ko
tags:
- generated_from_trainer
model-index:
- name: trained_model
results: []
trained_model
This model is a fine-tuned version of byoussef/whisper-large-v2-Ko on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5559
- Cer: 27.1916
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: 1
- eval_batch_size: 1
- 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: 17460
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss |
|---|---|---|---|---|
| 1.2023 | 0.44 | 1000 | 61.2630 | 1.0742 |
| 1.1553 | 0.89 | 2000 | 48.5561 | 0.9965 |
| 0.5591 | 1.33 | 3000 | 41.7970 | 1.0181 |
| 0.4999 | 1.78 | 4000 | 42.4589 | 0.9979 |
| 0.3963 | 2.22 | 5000 | 56.0316 | 1.0151 |
| 0.1948 | 2.67 | 6000 | 39.5938 | 1.0179 |
| 0.8484 | 3.11 | 7000 | 42.2062 | 0.8630 |
| 0.4461 | 3.56 | 8000 | 41.4453 | 0.8244 |
| 0.5309 | 4.0 | 9000 | 38.5052 | 0.7959 |
| 0.4761 | 4.44 | 10000 | 0.5227 | 31.4439 |
| 0.5826 | 4.89 | 11000 | 0.5017 | 32.8738 |
| 0.2989 | 5.33 | 12000 | 0.5057 | 29.9159 |
| 0.2387 | 5.78 | 13000 | 0.5043 | 30.0935 |
| 0.079 | 6.22 | 14000 | 0.5264 | 35.1729 |
| 0.19 | 6.67 | 15000 | 0.5234 | 27.0327 |
| 0.1049 | 7.11 | 16000 | 0.5564 | 27.4953 |
| 0.0449 | 7.56 | 17000 | 0.5559 | 27.1916 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0