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mon-modele-finetuned-whisper-lora
Tongasoa/mon-modele-finetuned-whisper-lora
mon-modele-finetuned-whisper-lora is a machine learning model from Tongasoa. 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
- Feb 26, 2026
- Updated
- Mar 10, 2026
- SHA
- 9423aef2
Base models
Datasets
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. -->
mon-modele-finetuned-whisper-lora
This model is a fine-tuned version of openai/whisper-small on the audiofolder dataset.
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- num_epochs: 10
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0
- Datasets 4.6.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 26, 2026
- Updated
- Mar 10, 2026