README.md

metadata

base_model: llava-hf/llava-1.5-7b-hf
library_name: peft
license: llama2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llava-7B-MM-NMM-9K
    results: []
pipeline_tag: image-to-text

Llava-7B-MM-NMM-9K

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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: 1.4e-05
• train_batch_size: 4
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1