gimarchetti/gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-indiana-report

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-indiana-report

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: 0.5424

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: 5e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 10
• —totaltrainbatch_size: 20
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.41.0.dev0
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1