gemma-2b-gemma-finetune

himanshue2e/gemma-2b-gemma-finetune

gemma-2b-gemma-finetune 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 other.

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: other
Access: Public
Created: Mar 25, 2024
Updated: Mar 25, 2024
SHA: 77c31089

Base models

google/gemma-2b

Datasets

generator

Model card

From the Hugging Face model README

gemma-2b-gemma-finetune

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

Loss: 1.4721

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: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.1	2	1.5211
No log	0.2	4	1.4995
1.4799	0.3	6	1.4839
1.4799	0.41	8	1.4758
1.4367	0.51	10	1.4721

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: other
Created: Mar 25, 2024
Updated: Mar 25, 2024