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llama3.2-qlora-rank8-hurtmongoose
hurtmongoose/llama3.2-qlora-rank8-hurtmongoose
llama3.2-qlora-rank8-hurtmongoose is a machine learning model from hurtmongoose. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 7df77d4b
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. -->
llama3.2-qlora-rank8-hurtmongoose
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4098
- Accuracy: 0.9033
- Mcc: 0.8073
- Recall: 0.8833
- Fpr: 0.0767
- Auc: 0.9575
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc | Recall | Fpr | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.9055 | 1.0 | 313 | 0.3082 | 0.8983 | 0.7967 | 0.8967 | 0.1 | 0.9625 |
| 1.4793 | 2.0 | 626 | 0.2815 | 0.915 | 0.8302 | 0.9033 | 0.0733 | 0.9707 |
| 0.3112 | 3.0 | 939 | 0.7091 | 0.9 | 0.8052 | 0.8433 | 0.0433 | 0.9661 |
| 0.1549 | 4.0 | 1252 | 1.4908 | 0.8767 | 0.7678 | 0.78 | 0.0267 | 0.9626 |
| 0.0021 | 5.0 | 1565 | 1.3141 | 0.8883 | 0.7864 | 0.81 | 0.0333 | 0.9647 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 2.15.0
- Tokenizers 0.22.1
- Library
- peft
- License
- llama3.2
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025