Edit model card

Llama-3.2-11B-Vision-mein-kampf

This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision 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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0
Downloads last month
2
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for yugal18/Llama-3.2-11B-Vision-mein-kampf

Adapter
(8)
this model