gemma-finetuned-spam

ana-grassmann/gemma-finetuned-spam

gemma-finetuned-spam is a machine learning model from ana-grassmann. 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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5.8 GB

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Hugging Face

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.pt3.6 GB · 61%

At a glance

Library: peft
License: gemma
Access: Public
Created: May 26, 2024
Updated: Jun 9, 2024
SHA: 1b6e7d55

Base models

google/gemma-2b

Model card

From the Hugging Face model README

gemma-finetuned-spam

This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0545
Accuracy: 0.994
F1: 0.994
Precision: 0.994
Recall: 0.994

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: 3.589634237431302e-05
train_batch_size: 8
eval_batch_size: 2
seed: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0491	1.0	1125	0.0730	0.989	0.9890	0.9861	0.992
0.0253	2.0	2250	0.0516	0.99	0.9900	0.9920	0.988
0.006	3.0	3375	0.0546	0.993	0.9930	0.9920	0.994
0.0	4.0	4500	0.0545	0.994	0.994	0.994	0.994
0.0001	5.0	5625	0.0554	0.994	0.994	0.994	0.994

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: gemma
Created: May 26, 2024
Updated: Jun 9, 2024