0721_185958-google-gemma-2b

steve-sli/0721_185958-google-gemma-2b

0721_185958-google-gemma-2b is a machine learning model from steve-sli. 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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Hugging Face

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At a glance

Library: peft
License: gemma
Access: Public
Created: Jul 21, 2024
Updated: Jul 21, 2024
SHA: e888d99d

Base models

google/gemma-2b

Model card

From the Hugging Face model README

0721_185958-google-gemma-2b

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: 0.8466
Accuracy: 0.445

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: 1e-08
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0958	0.7692	5	0.8466	0.445
0.7938	1.5385	10	0.8466	0.445
1.0297	2.3077	15	0.8466	0.445

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: Jul 21, 2024
Updated: Jul 21, 2024