metadata

license: llama3
base_model: TIGER-Lab/Mantis-8B-siglip-llama3-pretraind
tags:
  - generated_from_trainer
model-index:
  - name: llava_siglip_llama3_8b_finetune_universal_llama_20k_8192
    results: []

llava_siglip_llama3_8b_finetune_universal_llama_20k_8192

This model is a fine-tuned version of TIGER-Lab/Mantis-8B-siglip-llama3-pretraind 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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1