gemma2_9b_it_bwgenerator_older_data

NanQiangHF/gemma2_9b_it_bwgenerator_older_data

gemma2_9b_it_bwgenerator_older_data is a machine learning model from NanQiangHF. 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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18.5 GB on disk

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Hugging Face

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At a glance

Library: peft
License: gemma
Model type: gemma2
Access: Public
Created: Aug 15, 2024
Updated: Aug 15, 2024
SHA: 514f1a2c

Base models

google/gemma-2-9b-it

Model card

From the Hugging Face model README

gemma2_9b_it_bwgenerator_older_data

This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0854

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4812	0.1524	100	0.1790
0.1525	0.3048	200	0.1263
0.1041	0.4572	300	0.0948
0.0913	0.6096	400	0.0931
0.0863	0.7619	500	0.0892
0.083	0.9143	600	0.0854

Framework versions

PEFT 0.10.0
Transformers 4.44.0
Pytorch 2.3.0+cu121
Datasets 2.14.7
Tokenizers 0.19.1

Library: peft
Type: gemma2
License: gemma
Created: Aug 15, 2024
Updated: Aug 15, 2024