llava-1.5-7b-nlst

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.

Model description

{'images': [<PIL.Image.Image image mode=RGB size=224x224>], 'messages': [{'role': 'user', 'content': [{'type': 'text', 'text': 'Does this CT scan show any signs of cancer?', 'index': None}, {'type': 'image', 'text': None, 'index': 0}]}, {'role': 'assistant', 'content': [{'type': 'text', 'text': 'Yes.', 'index': None}]}]}

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: 1.4e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.13.2
• Transformers 4.46.3
• Pytorch 2.4.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3