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Whisper Small Polish PEFT - s22678 prod
This model is a fine-tuned version of openai/openai/whisper-small on the Common Voice 17.0 and the MultiLingual LibriSpeech datasets. It achieves the following results on the evaluation set:
- Loss: 0.2931
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1409 | 2.67 | 2500 | 0.3070 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.36.0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.1
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Model tree for MarOsz/whisper-small-polish-peft-extra
Base model
openai/whisper-small