generated_images_2700

This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on the None dataset.

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 5

Training results

Framework versions

• PEFT 0.13.1.dev0
• Transformers 4.46.0.dev0
• Pytorch 2.4.1+cu121
• Datasets 2.16.0
• Tokenizers 0.20.1