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