gm-qlora-float16-idefics2-8b-xrayvqa-finetuned

gimarchetti/gm-qlora-float16-idefics2-8b-xrayvqa-finetuned

gm-qlora-float16-idefics2-8b-xrayvqa-finetuned is a machine learning model from gimarchetti. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Public

Updated May 3, 2024

Repo size

93.4 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 8bcdad86

Base models

HuggingFaceM4/idefics2-8b

Model card

From the Hugging Face model README

gm-qlora-float16-idefics2-8b-xrayvqa-finetuned

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0386

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.8862	0.4444	10	1.1280
0.8261	0.8889	20	0.8034
0.6098	1.3333	30	0.8407
0.5778	1.7778	40	0.7942
0.5059	2.2222	50	0.8734
0.4059	2.6667	60	0.8864
0.3868	3.1111	70	0.8949
0.3025	3.5556	80	1.0386

Framework versions

Transformers 4.41.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1

License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024