gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4

gimarchetti/gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4

gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4 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 6, 2024

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49.8 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: May 6, 2024
Updated: May 6, 2024
SHA: 792000a0

Base models

HuggingFaceM4/idefics2-8b

Model card

From the Hugging Face model README

gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4

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: 0.7114

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: 20
total_train_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.2963	0.2632	50	0.7880
0.7353	0.5263	100	0.7475
0.716	0.7895	150	0.7302
0.6689	1.0526	200	0.7295
0.5496	1.3158	250	0.7256
0.5534	1.5789	300	0.7177
0.5419	1.8421	350	0.7114

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 6, 2024
Updated: May 6, 2024