paligemma-imgtojson

veronikayu/paligemma-imgtojson

paligemma-imgtojson is a machine learning model from veronikayu. 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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All-time downloads

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Repo size

3.1 GB

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Public

Hugging Face

Repo makeup

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.safetensors45.3 MB · 54%

At a glance

Library: peft
License: gemma
Access: Public
Created: May 29, 2025
Updated: Jun 18, 2025
SHA: 7ee09fea

Base models

google/paligemma-3b-pt-224

Model card

From the Hugging Face model README

paligemma-imgtojson

This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4194
Json Validity: 0.0
Field Match Avg: 0.0

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: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Json Validity	Field Match Avg
1.6843	0.04	4	1.6791	0.0	0.0
1.2435	0.08	8	1.1588	0.0	0.0
0.9726	0.12	12	0.8497	0.0	0.0
0.3672	0.16	16	0.6707	0.0	0.0
0.8473	0.2	20	0.5506	0.0	0.0
0.3753	0.24	24	0.4935	0.0	0.0
0.5084	0.28	28	0.4973	0.0	0.0
0.3072	0.32	32	0.4974	0.0	0.0
0.2135	0.36	36	0.4716	0.0	0.0
0.3368	0.4	40	0.4641	0.0	0.0
0.4291	0.44	44	0.4585	0.0	0.0
0.334	0.48	48	0.4150	0.0	0.0
0.2791	0.52	52	0.4408	0.0	0.0
0.287	0.56	56	0.4097	0.0	0.0
0.2269	0.6	60	0.3962	0.0	0.0
0.3634	0.64	64	0.3881	0.0	0.0
0.352	0.68	68	0.3956	0.0	0.0
0.2697	0.72	72	0.3953	0.0	0.0
0.3239	0.76	76	0.3821	0.0	0.0
0.2503	0.8	80	0.3809	0.0	0.0
0.278	0.84	84	0.3980	0.2	1.0
0.2364	0.88	88	0.4126	0.0	0.0
0.1774	0.92	92	0.4199	0.0	0.0
0.5384	0.96	96	0.4227	0.0	0.0
0.21	1.0	100	0.4168	0.0	0.0
0.2008	1.04	104	0.3820	0.0	0.0
0.0569	1.08	108	0.3619	0.0	0.0
0.1999	1.12	112	0.3687	0.0	0.0
0.1869	1.16	116	0.3742	0.0	0.0
0.2146	1.2	120	0.3774	0.0	0.0
0.2165	1.24	124	0.3805	0.0	0.0
0.1742	1.28	128	0.3623	0.0	0.0
0.392	1.32	132	0.3592	0.0	0.0
0.2822	1.3600	136	0.3600	0.0	0.0
0.1651	1.4	140	0.3579	0.0	0.0
0.259	1.44	144	0.3640	0.0	0.0
0.2883	1.48	148	0.3653	0.0	0.0
0.0865	1.52	152	0.3669	0.0	0.0
0.1842	1.56	156	0.3732	0.0	0.0
0.1547	1.6	160	0.3852	0.0	0.0
0.1551	1.6400	164	0.3732	0.0	0.0
0.0667	1.6800	168	0.3655	0.0	0.0
0.0763	1.72	172	0.3654	0.0	0.0
0.1045	1.76	176	0.3698	0.0	0.0
0.1016	1.8	180	0.3681	0.0	0.0
0.1273	1.8400	184	0.3711	0.0	0.0
0.0772	1.88	188	0.3717	0.0	0.0
0.123	1.92	192	0.3775	0.0	0.0
0.1533	1.96	196	0.3606	0.0	0.0
0.0748	2.0	200	0.3529	0.0	0.0
0.1028	2.04	204	0.3554	0.0	0.0
0.0557	2.08	208	0.3690	0.0	0.0
0.134	2.12	212	0.3848	0.0	0.0
0.0785	2.16	216	0.3964	0.0	0.0
0.0602	2.2	220	0.4010	0.0	0.0
0.0426	2.24	224	0.4038	0.0	0.0
0.0211	2.2800	228	0.4033	0.0	0.0
0.0632	2.32	232	0.4067	0.0	0.0
0.1438	2.36	236	0.4087	0.0	0.0
0.0917	2.4	240	0.4094	0.0	0.0
0.0292	2.44	244	0.4128	0.0	0.0
0.0339	2.48	248	0.4189	0.0	0.0
0.0619	2.52	252	0.4250	0.0	0.0
0.0252	2.56	256	0.4229	0.0	0.0
0.1563	2.6	260	0.4226	0.0	0.0
0.0258	2.64	264	0.4277	0.0	0.0
0.1214	2.68	268	0.4225	0.0	0.0
0.0562	2.7200	272	0.4237	0.0	0.0
0.1413	2.76	276	0.4195	0.0	0.0
0.0922	2.8	280	0.4172	0.0	0.0
0.0061	2.84	284	0.4155	0.0	0.0
0.0863	2.88	288	0.4220	0.0	0.0
0.059	2.92	292	0.4154	0.0	0.0
0.0188	2.96	296	0.4162	0.0	0.0
0.2014	3.0	300	0.4194	0.0	0.0

Framework versions

PEFT 0.15.2
Transformers 4.47.1
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1

Library: peft
License: gemma
Created: May 29, 2025
Updated: Jun 18, 2025