Llama-SEA-LION-v3.5-8B-R_sft_sg_values

Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values

Llama-SEA-LION-v3.5-8B-R_sft_sg_values is a machine learning model from Incomple. 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 llama3.1.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: llama3.1
Access: Public
Created: Jul 9, 2025
Updated: Jul 9, 2025
SHA: d3525f0b

Base models

aisingapore/Llama-SEA-LION-v3.5-8B-R

Model card

From the Hugging Face model README

Llama-SEA-LION-v3.5-8B-R_sft_sg_values

This model is a fine-tuned version of aisingapore/Llama-SEA-LION-v3.5-8B-R on the sft_sg_values dataset. It achieves the following results on the evaluation set:

Loss: 0.1549

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: 1e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.3254	0.1869	250	0.2763
0.2079	0.3738	500	0.1980
0.1729	0.5607	750	0.1705
0.1551	0.7477	1000	0.1585
0.1371	0.9346	1250	0.1560

Framework versions

PEFT 0.15.2
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.1

Library: peft
License: llama3.1
Created: Jul 9, 2025
Updated: Jul 9, 2025