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whisper-lora-630
Jeff13680/whisper-lora-630
whisper-lora-630 is a machine learning model from Jeff13680. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 17, 2025
- Updated
- Jul 17, 2025
- SHA
- ab104b0a
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-lora-630
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4043
- Wer: 0.5039
- Cer: 0.2762
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 1.4297 | 0.3361 | 10 | 0.2634 | 1.4343 | 0.4935 |
| 1.4671 | 0.6723 | 20 | 0.2776 | 1.4356 | 0.5013 |
| 1.5794 | 1.0336 | 30 | 0.2661 | 1.4332 | 0.4909 |
| 1.4176 | 1.3361 | 40 | 1.4319 | 0.5013 | 0.2670 |
| 1.5047 | 1.6723 | 50 | 1.4263 | 0.5039 | 0.2762 |
| 1.3984 | 2.0 | 60 | 1.4191 | 0.4961 | 0.2670 |
| 1.5092 | 2.3361 | 70 | 1.4130 | 0.4961 | 0.2675 |
| 1.4347 | 2.6723 | 80 | 1.4043 | 0.5039 | 0.2762 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu118
- Datasets 3.1.0
- Tokenizers 0.21.2
- Library
- peft
- License
- apache-2.0
- Created
- Jul 17, 2025
- Updated
- Jul 17, 2025