gemmalearnnew

quasar1256/gemmalearnnew

gemmalearnnew is a machine learning model from quasar1256. 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

8% of all-time downloads

All-time downloads

Public

Repo size

336 MB

Likes

Public

Hugging Face

Repo makeup

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.safetensors157 MB · 88%

At a glance

Library: peft
License: gemma
Access: Public
Created: Apr 12, 2024
Updated: Apr 12, 2024
SHA: 414838d0

Base models

google/gemma-2b

Datasets

generator

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: 2.1504

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-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
2.8581	0.82	100	2.5287
2.4457	1.64	200	2.3240
2.2896	2.46	300	2.2217
2.2211	3.28	400	2.1753
2.2061	4.1	500	2.1504

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: Apr 12, 2024