gemma_summarizer_2

zera09/gemma_summarizer_2

gemma_summarizer_2 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. --

Downloads · 30 days

22% of all-time downloads

All-time downloads

Public

Repo size

1.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.2 GB · 98%

At a glance

Library: peft
License: gemma
Access: Public
Created: Sep 16, 2024
Updated: Sep 16, 2024
SHA: 964716df

Base models

google/gemma-2-2b-it

Model card

From the Hugging Face model README

gemma_summarizer_2

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: 1.9349

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.3746	0.3999	630	2.0370
2.364	0.7997	1260	1.9673
2.2345	1.1996	1890	1.9486
1.2331	1.5995	2520	1.9388
1.1334	1.9994	3150	1.9349

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 16, 2024
Updated: Sep 16, 2024