gemma-3-1b-it-arkey_emails-qlora

xaviergillard/gemma-3-1b-it-arkey_emails-qlora

gemma-3-1b-it-arkey_emails-qlora is a machine learning model from xaviergillard. 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

272 MB

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Hugging Face

Repo makeup

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.json34.5 MB · 74%

At a glance

Library: peft
License: gemma
Access: Public
Created: May 8, 2025
Updated: May 8, 2025
SHA: ada5d2d8

Base models

google/gemma-3-1b-it

Model card

From the Hugging Face model README

gemma-3-1b-it-arkey_emails-qlora

This model is a fine-tuned version of google/gemma-3-1b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1858

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9774	26	3.3697
No log	1.9774	52	2.8943
No log	2.9774	78	2.7022
No log	3.9774	104	2.5675
No log	4.9774	130	2.4533
No log	5.9774	156	2.3564
No log	6.9774	182	2.2832
No log	7.9774	208	2.2290
No log	8.9774	234	2.1967
No log	9.9774	260	2.1858

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.1.2
Datasets 3.5.1
Tokenizers 0.21.1

Library: peft
License: gemma
Created: May 8, 2025
Updated: May 8, 2025