whisper-kk-speech2ner-b16-ms4k-ss2K-8ep-wlv2-ksc_upd
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0889
- Wer: 21.5193
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: 9e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0438 | 0.22 | 2000 | 0.1035 | 23.3976 |
| 0.0355 | 0.43 | 4000 | 0.0955 | 19.7748 |
| 0.0335 | 0.65 | 6000 | 0.0908 | 22.4752 |
| 0.0245 | 0.87 | 8000 | 0.0889 | 21.5193 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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