Downloads · 30 days
8
29% of all-time downloads
text2odrl-llama32-3b-lora-v0
Yusra2677/text2odrl-llama32-3b-lora-v0
text2odrl-llama32-3b-lora-v0 is a machine learning model from Yusra2677. 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
28
Public
Repo size
19.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors878 MB · 98%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Jul 18, 2025
- Updated
- Jul 20, 2025
- SHA
- dd278bd4
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. -->
text2odrl-llama32-3b-lora-v0
This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the text_to_odrl_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.1083
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1857 | 0.2155 | 50 | 0.1730 |
| 0.1262 | 0.4310 | 100 | 0.1315 |
| 0.1218 | 0.6466 | 150 | 0.1240 |
| 0.1198 | 0.8621 | 200 | 0.1193 |
| 0.1148 | 1.0776 | 250 | 0.1161 |
| 0.1172 | 1.2931 | 300 | 0.1147 |
| 0.1117 | 1.5086 | 350 | 0.1132 |
| 0.1081 | 1.7241 | 400 | 0.1120 |
| 0.1058 | 1.9397 | 450 | 0.1106 |
| 0.1074 | 2.1552 | 500 | 0.1094 |
| 0.1099 | 2.3707 | 550 | 0.1087 |
| 0.1054 | 2.5862 | 600 | 0.1083 |
| 0.1017 | 2.8017 | 650 | 0.1080 |
Framework versions
- PEFT 0.15.2
- Transformers 4.50.1
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- llama3.2
- Created
- Jul 18, 2025
- Updated
- Jul 20, 2025