---
base_model: hieptuyet1102/MoE_LlaVa_Qwen1.5_0.5bx4Top2_Vista_filter_reasoning
tags:
- generated_from_trainer
model-index:
- name: MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA_73
  results: []
library_name: peft
---

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# MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA_73

This model is a fine-tuned version of [hieptuyet1102/MoE_LlaVa_Qwen1.5_0.5bx4Top2_Vista_filter_reasoning](https://huggingface.co/hieptuyet1102/MoE_LlaVa_Qwen1.5_0.5bx4Top2_Vista_filter_reasoning) 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: 5.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.4.0
- Transformers 4.37.0
- Pytorch 2.0.1+cu117
- Datasets 3.0.0
- Tokenizers 0.15.1