llava-1.5_RSI_correct_prompt_32lora

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8361

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: 0.00025
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
1.0109	0.1546	25	1.0655
0.8675	0.3091	50	0.9216
0.8635	0.4637	75	0.8841
0.9245	0.6182	100	0.8596
0.8823	0.7728	125	0.8484
0.8279	0.9274	150	0.8406
0.714	1.0819	175	0.8362
0.8471	1.2365	200	0.8361

Framework versions

• PEFT 0.12.0
• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1