Downloads · 30 days
3
5% of all-time downloads
llama3.2-rslora-rank8-hurtmongoose
hurtmongoose/llama3.2-rslora-rank8-hurtmongoose
llama3.2-rslora-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. --
All-time downloads
61
Public
Repo size
261 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors48.7 MB · 74%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 904a2d57
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-rslora-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: 0.2682
- Accuracy: 0.9067
- Mcc: 0.8134
- Recall: 0.9033
- Fpr: 0.09
- Auc: 0.9672
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 adamw_torch_fused 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 |
|---|---|---|---|---|---|---|---|---|
| 1.1279 | 1.0 | 313 | 0.2493 | 0.8983 | 0.7968 | 0.9067 | 0.11 | 0.9664 |
| 1.2131 | 2.0 | 626 | 0.3415 | 0.91 | 0.8209 | 0.8867 | 0.0667 | 0.9642 |
| 0.198 | 3.0 | 939 | 1.0070 | 0.8883 | 0.7848 | 0.8167 | 0.04 | 0.9694 |
| 0.1382 | 4.0 | 1252 | 1.4709 | 0.8867 | 0.7803 | 0.82 | 0.0467 | 0.9659 |
| 0.0712 | 5.0 | 1565 | 1.6248 | 0.885 | 0.7780 | 0.8133 | 0.0433 | 0.9667 |
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