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football-rebuttal-model-phi3-mini-qlora
TripleH/football-rebuttal-model-phi3-mini-qlora
football-rebuttal-model-phi3-mini-qlora is a machine learning model from TripleH. 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
- Jul 2, 2025
- Updated
- Jul 2, 2025
- SHA
- 4619406b
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. -->
football-rebuttal-model-phi3-mini-qlora
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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
- num_epochs: 10
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Library
- peft
- License
- mit
- Created
- Jul 2, 2025
- Updated
- Jul 2, 2025