Gemma-2b-MultiCap-mt

sofyc/Gemma-2b-MultiCap-mt

Gemma-2b-MultiCap-mt is a machine learning model from sofyc. 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

188 MB

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Hugging Face

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.safetensors83.1 MB · 79%

At a glance

Library: peft
License: gemma
Access: Public
Created: Sep 4, 2024
Updated: Sep 4, 2024
SHA: 338714c4

Base models

google/gemma-2-2b-it

Model card

From the Hugging Face model README

Gemma-2b-MultiCap-mt

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

Loss: 0.8644

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.1429	0.1277	50	1.1222
0.8782	0.2554	100	0.9298
0.8032	0.3831	150	0.8972
0.9111	0.5109	200	0.8814
0.8477	0.6386	250	0.8734
0.8528	0.7663	300	0.8679
0.8024	0.8940	350	0.8644

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: Sep 4, 2024
Updated: Sep 4, 2024