README.md

metadata

base_model: llava-hf/llava-v1.6-mistral-7b-hf
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: docedit_finetuning_llava_next
    results: []

docedit_finetuning_llava_next

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-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: 0.0001
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use 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: 50
• num_epochs: 2

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.46.1
• Pytorch 2.4.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.0