GemmaSheep-2B-LORA-TUNED

eduardo-alvarez/GemmaSheep-2B-LORA-TUNED

GemmaSheep-2B-LORA-TUNED is a machine learning model from eduardo-alvarez. 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. --

Downloads · 30 days

184

3% of all-time downloads

All-time downloads

6.8K

Public

Repo size

336 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors157 MB · 88%

At a glance

Library: peft
License: gemma
Access: Public
Created: Apr 12, 2024
Updated: Jun 1, 2024
SHA: ee121d38

Base models

google/gemma-2b

Datasets

Model card

From the Hugging Face model README

GemmaSheep-2B-LORA-TUNED

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: 2.1445

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

databricks/databricks-dolly-15k

Training Hardware

This model was trained using 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
2.8445	0.82	100	2.5144
2.4282	1.64	200	2.2987
2.2735	2.46	300	2.2079
2.2193	3.28	400	2.1661
2.19	4.1	500	2.1445

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 12, 2024
Updated: Jun 1, 2024