---
base_model: Nhanvi282/stage2-llavaqwen1.5-0.5B-vista-5ep-halong
tags:
- generated_from_trainer
model-index:
- name: stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe-halongfil
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe-halongfil

This model is a fine-tuned version of [Nhanvi282/stage2-llavaqwen1.5-0.5B-vista-5ep-halong](https://huggingface.co/Nhanvi282/stage2-llavaqwen1.5-0.5B-vista-5ep-halong) 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- 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 2.21.0
- Tokenizers 0.15.1