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whisper-large-children-lora-lr5e3
HouraMor/whisper-large-children-lora-lr5e3
whisper-large-children-lora-lr5e3 is a machine learning model from HouraMor. 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 16, 2025
- Updated
- Jul 16, 2025
- SHA
- ed4ccd73
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-large-children-lora-lr5e3
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2719
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: 0.005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 750
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5001 | 0.3047 | 500 | 1.5080 |
| 3.5338 | 0.6094 | 1000 | 3.4043 |
| 3.4309 | 0.9141 | 1500 | 3.2189 |
| 3.2391 | 1.2188 | 2000 | 3.3429 |
| 3.2767 | 1.5235 | 2500 | 3.2719 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.3
- Pytorch 2.7.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025