gemma_summarizer_3

zera09/gemma_summarizer_3

gemma_summarizer_3 is a machine learning model from zera09. 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

1.2 GB

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Hugging Face

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.safetensors1.2 GB · 98%

At a glance

Library: peft
License: gemma
Access: Public
Created: Sep 17, 2024
Updated: Sep 17, 2024
SHA: a225e897

Base models

google/gemma-2-2b-it

Model card

From the Hugging Face model README

gemma_summarizer_3

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

Loss: 2.0674

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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5969	0.9998	3150	1.7505
0.586	1.9997	6300	1.9634
0.7215	2.9995	9450	1.8744
0.7263	3.9994	12600	1.9856
0.8409	4.9992	15750	2.0674

Framework versions

PEFT 0.11.1
Transformers 4.44.0
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: Sep 17, 2024
Updated: Sep 17, 2024