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fine-tuned-visionllama_2

PEFT
Safetensors
trl
sft
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fine-tuned-visionllama_2 / README.md
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metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: fine-tuned-visionllama_2
    results: []

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fine-tuned-visionllama_2

This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on an unknown 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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 0.002

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.2.2+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.3