semeval2026_Llama-3.2-1B-Instruct_5ep_v1

juliadollis/semeval2026_Llama-3.2-1B-Instruct_5ep_v1

semeval2026_Llama-3.2-1B-Instruct_5ep_v1 is a machine learning model from juliadollis. 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: Oct 27, 2025
Updated: Oct 27, 2025
SHA: dd49c1d5

Base models

meta-llama/Llama-3.2-1B-Instruct

Model card

From the Hugging Face model README

semeval2026_Llama-3.2-1B-Instruct_5ep_v1

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1896

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: 2
eval_batch_size: 2
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1049	1.0	388	0.1040
0.0786	2.0	776	0.1003
0.0691	3.0	1164	0.1006
0.0273	4.0	1552	0.1234
0.0069	5.0	1940	0.1896

Framework versions

PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3

Library: peft
License: llama3.2
Created: Oct 27, 2025
Updated: Oct 27, 2025