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phi-4-normal-gec-0331-8bit-lora
ntnu-smil/phi-4-normal-gec-0331-8bit-lora
phi-4-normal-gec-0331-8bit-lora is a machine learning model from ntnu-smil. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Mar 31, 2025
- Updated
- Sep 26, 2025
- SHA
- 4913e934
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. -->
phi-4-normal-gec-0331-8bit-lora
This model is a fine-tuned version of microsoft/Phi-4 on an unknown 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.50.3
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- peft
- License
- mit
- Created
- Mar 31, 2025
- Updated
- Sep 26, 2025