whisper-small_finetuned_sw_chich
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7430
- Wer: 80.1992
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0324 | 4.39 | 500 | 1.5624 | 84.6754 |
| 0.0151 | 8.77 | 1000 | 1.6639 | 82.4073 |
| 0.0099 | 13.16 | 1500 | 1.7377 | 78.8912 |
| 0.0081 | 17.54 | 2000 | 1.7430 | 80.1992 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for dmatekenya/whisper-small_finetuned_sw_chich
Base model
openai/whisper-small