paligemma_vqav2_001

NairaRahim/paligemma_vqav2_001

paligemma_vqav2_001 is a machine learning model from NairaRahim. 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

136 MB

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Hugging Face

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.safetensors45.3 MB · 100%

At a glance

Library: peft
License: gemma
Access: Public
Created: Oct 17, 2024
Updated: Oct 18, 2024
SHA: 25d9fbfd

Base models

google/paligemma-3b-pt-224

Model card

From the Hugging Face model README

paligemma_vqav2_001

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: 0.6552

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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7553	0.3636	500	0.7282
0.6575	0.7273	1000	0.6835
0.5858	1.0909	1500	0.6673
0.6113	1.4545	2000	0.6612
0.5665	1.8182	2500	0.6552

Framework versions

PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Library: peft
License: gemma
Created: Oct 17, 2024
Updated: Oct 18, 2024