---
base_model: Nhanvi282/LLaVA_Qwen1.5_0.5b_SigLIPStage2
tags:
- generated_from_trainer
model-index:
- name: MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP
  results: []
---

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# MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP

This model is a fine-tuned version of [Nhanvi282/LLaVA_Qwen1.5_0.5b_SigLIPStage2](https://huggingface.co/Nhanvi282/LLaVA_Qwen1.5_0.5b_SigLIPStage2) 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: 2e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.15.1