Sailor2-8B-Chat_sft_sg_values_resp_split

Incomple/Sailor2-8B-Chat_sft_sg_values_resp_split

Sailor2-8B-Chat_sft_sg_values_resp_split 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 apache-2.0.

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

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Oct 8, 2025
Updated: Oct 8, 2025
SHA: 5842292e

Base models

sail/Sailor2-8B-Chat

Model card

From the Hugging Face model README

Sailor2-8B-Chat_sft_sg_values_resp_split

This model is a fine-tuned version of sail/Sailor2-8B-Chat on the sft_sg_values_res_split dataset. It achieves the following results on the evaluation set:

Loss: 0.1357

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
0.3715	0.1710	250	0.2821
0.1642	0.3419	500	0.1734
0.1431	0.5129	750	0.1512
0.1257	0.6839	1000	0.1415
0.1281	0.8548	1250	0.1359

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: apache-2.0
Created: Oct 8, 2025
Updated: Oct 8, 2025