metadata

base_model: hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: llava-jp
    results: []

dpo_visual_llavajp_refmodel

This model is a fine-tuned version of hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1