gemma-2b-finetuned

rppadmakumar/gemma-2b-finetuned

gemma-2b-finetuned is a machine learning model from rppadmakumar. 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: Apr 13, 2024
Updated: Apr 20, 2024
SHA: 9ed61227

Base models

google/gemma-2b

Datasets

generator

Model card

From the Hugging Face model README

gemma-finetuning

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: 2.1674

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training Hardware

Intel(R) Data Center GPU Max 1100

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 593

Training results

Training Loss	Epoch	Step	Validation Loss
2.8606	0.82	100	2.5425
2.4479	1.64	200	2.3304
2.3077	2.46	300	2.2351
2.2398	3.28	400	2.1914
2.2083	4.1	500	2.1674

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.0.1a0+cxx11.abi
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: gemma
Created: Apr 13, 2024
Updated: Apr 20, 2024