Phi-4-mini-instruct_sft_sg_values_resp_split

Incomple/Phi-4-mini-instruct_sft_sg_values_resp_split

Phi-4-mini-instruct_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 mit.

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: mit
Access: Public
Created: Oct 8, 2025
Updated: Oct 8, 2025
SHA: 51e3789e

Base models

microsoft/Phi-4-mini-instruct

Model card

From the Hugging Face model README

Phi-4-mini-instruct_sft_sg_values_resp_split

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on the sft_sg_values_res_split dataset. It achieves the following results on the evaluation set:

Loss: 2.3214

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
4.3698	0.1710	250	4.1731
3.5096	0.3419	500	3.1497
2.6213	0.5129	750	2.5736
2.4305	0.6839	1000	2.3980
2.3653	0.8548	1250	2.3345

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: mit
Created: Oct 8, 2025
Updated: Oct 8, 2025