spider-gemma7b-it

nem012/spider-gemma7b-it

spider-gemma7b-it is a machine learning model from nem012. 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

540 MB

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Public

Hugging Face

Repo makeup

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.safetensors100 MB · 82%

At a glance

Library: peft
License: gemma
Access: Public
Created: Apr 14, 2024
Updated: Apr 14, 2024
SHA: 88d9f698

Base models

google/gemma-7b-it

Model card

From the Hugging Face model README

spider-gemma7b-it

This model is a fine-tuned version of google/gemma-7b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1600

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.4778	0.16	100	0.4999
0.2964	0.33	200	0.3364
0.2383	0.49	300	0.2924
0.2077	0.65	400	0.2551
0.1909	0.82	500	0.2283
0.1831	0.98	600	0.2188
0.1595	1.14	700	0.1855
0.1566	1.31	800	0.1779
0.1581	1.47	900	0.1706
0.1507	1.63	1000	0.1679
0.1515	1.8	1100	0.1689
0.1514	1.96	1200	0.1600

Framework versions

PEFT 0.8.2
Transformers 4.38.0
Pytorch 2.2.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Library: peft
License: gemma
Created: Apr 14, 2024
Updated: Apr 14, 2024