whisper-small-ko-E10_Yspeed
This model is a fine-tuned version of openai/whisper-small on the aihub adult speed changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.2292
- Cer: 10.0153
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
0.4177 | 0.13 | 100 | 0.2959 | 7.1898 |
0.2523 | 0.26 | 200 | 0.2551 | 7.4483 |
0.2141 | 0.39 | 300 | 0.2561 | 7.2133 |
0.1974 | 0.52 | 400 | 0.2412 | 7.0724 |
0.1863 | 0.64 | 500 | 0.2483 | 7.3484 |
0.1582 | 0.77 | 600 | 0.2423 | 6.7375 |
0.1597 | 0.9 | 700 | 0.2388 | 8.4998 |
0.0697 | 1.03 | 800 | 0.2335 | 6.6142 |
0.0589 | 1.16 | 900 | 0.2343 | 9.2634 |
0.0642 | 1.29 | 1000 | 0.2338 | 8.9932 |
0.0609 | 1.42 | 1100 | 0.2353 | 10.1974 |
0.0659 | 1.55 | 1200 | 0.2309 | 10.4382 |
0.0608 | 1.68 | 1300 | 0.2290 | 8.9168 |
0.0605 | 1.81 | 1400 | 0.2293 | 10.7789 |
0.0644 | 1.93 | 1500 | 0.2292 | 10.0153 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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