Gemma_StereoDetect_Model

thenlpresearcher/Gemma_StereoDetect_Model

Gemma_StereoDetect_Model is a machine learning model from thenlpresearcher. 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 gemma.

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

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Repo size

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Hugging Face

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.safetensors286 MB · 89%

At a glance

Library: peft
License: gemma
Access: Public
Created: Sep 4, 2025
Updated: Sep 4, 2025
SHA: 09510537

Base models

google/gemma-2-9b

Model card

From the Hugging Face model README

Gemma_StereoDetect_Model

This model is a fine-tuned version of google/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1845
Pearson: 0.9725

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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	190	0.2128	0.9568
No log	2.0	380	0.1953	0.9564
0.2912	3.0	570	0.1950	0.9694
0.2912	4.0	760	0.1864	0.9713
0.2912	5.0	950	0.1845	0.9725

Framework versions

PEFT 0.17.1
Transformers 4.56.0
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 4.0.0
Tokenizers 0.22.0

Library: peft
License: gemma
Created: Sep 4, 2025
Updated: Sep 4, 2025