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Whisper Small NSC small (500 steps) - Jarrett Er
This model is a fine-tuned version of Thecoder3281f/whisper-small-hi-commonvoice17-1000 on the NSC Small section dataset. It achieves the following results on the evaluation set:
- Loss: 0.0777
- Wer: 3.0164
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: 0.0001
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0822 | 0.8850 | 100 | 0.0686 | 3.0164 |
| 0.0585 | 1.7699 | 200 | 0.0700 | 3.0928 |
| 0.0317 | 2.6549 | 300 | 0.0726 | 3.0546 |
| 0.0184 | 3.5398 | 400 | 0.0781 | 3.2455 |
| 0.0194 | 4.4248 | 500 | 0.0777 | 3.0164 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.1.dev0
- Tokenizers 0.20.3
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Model tree for Thecoder3281f/whisper-small-hi-nscsmall-500
Base model
openai/whisper-small