whisper-small-ISSAI_KSC_335RS
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1140
- Wer: 14.5474
- Cer: 3.3911
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: 100
- training_steps: 5001
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0918 | 0.11 | 500 | 0.1361 | 17.5287 | 4.1649 |
| 0.0795 | 0.22 | 1000 | 0.1327 | 16.8463 | 4.0455 |
| 0.0783 | 0.33 | 1500 | 0.1311 | 16.7385 | 3.9758 |
| 0.0699 | 0.43 | 2000 | 0.1273 | 16.5050 | 3.9360 |
| 0.0705 | 0.54 | 2500 | 0.1230 | 15.8944 | 3.8489 |
| 0.0622 | 0.65 | 3000 | 0.1194 | 16.2177 | 3.8514 |
| 0.0642 | 0.76 | 3500 | 0.1157 | 14.7989 | 3.5230 |
| 0.0697 | 0.87 | 4000 | 0.1152 | 15.1221 | 3.5802 |
| 0.0658 | 0.98 | 4500 | 0.1121 | 14.6731 | 3.4608 |
| 0.0271 | 1.09 | 5000 | 0.1140 | 14.5474 | 3.3911 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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