llava_13b_exact_location_name

This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4214

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.895	1.0	9	1.0173
0.2263	2.0	18	1.1246
0.0698	3.0	27	1.1885
0.0285	4.0	36	1.3967
0.0085	5.0	45	1.4823
0.0062	6.0	54	1.4699
0.0027	7.0	63	1.4972
0.0033	8.0	72	1.5496
0.0016	9.0	81	1.4242
0.0037	10.0	90	1.4214

Framework versions

• PEFT 0.10.0
• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Tokenizers 0.15.1