Downloads · 30 days
8
30% of all-time downloads
Llama-3.2-1B-Instruct-xsum-finetuned
dheeruys/Llama-3.2-1B-Instruct-xsum-finetuned
Llama-3.2-1B-Instruct-xsum-finetuned is a machine learning model from dheeruys. 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
27
Public
Repo size
153 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors45.1 MB · 72%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Nov 10, 2025
- Updated
- Nov 11, 2025
- SHA
- c23f3f9d
Base models
Datasets
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. -->
Llama-3.2-1B-Instruct-xsum-finetuned
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the generator 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
- training_steps: 15000
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.57.1
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- peft
- License
- llama3.2
- Created
- Nov 10, 2025
- Updated
- Nov 11, 2025