README.md

metadata

library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: llava-hf/llava-1.5-7b-hf
model-index:
  - name: 20240427_finetuned-llava-1.5-7b-hf_full_dataset
    results: []

20240427_finetuned-llava-1.5-7b-hf_full_dataset

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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: 2e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3.0

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.40.0
• Pytorch 2.2.2
• Datasets 2.19.0
• Tokenizers 0.19.1