gemma-7b-gem

himanshue2e/gemma-7b-gem

gemma-7b-gem is a machine learning model from himanshue2e. 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

2.3 GB

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Hugging Face

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At a glance

Library: peft
License: gemma
Access: Public
Created: Apr 17, 2024
Updated: Apr 17, 2024
SHA: 29d25bcb

Base models

google/gemma-2b

Model card

From the Hugging Face model README

gemma-7b-gem

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: 1.1198

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: 2.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.016	2	1.1601
No log	0.032	4	1.1470
1.1276	0.048	6	1.1375
1.1276	0.064	8	1.1304
1.1805	0.08	10	1.1252
1.1805	0.096	12	1.1217
1.1805	0.112	14	1.1198

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

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