---
library_name: transformers
license: other
base_model: Qwen/Qwen2-VL-72B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: qwen2_vl-72b_full-sft_m3cot+llava-reasoner
  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. -->

# qwen2_vl-72b_full-sft_m3cot+llava-reasoner

This model is a fine-tuned version of [/mnt/zhangh/sicong/vl3_data/checkpoints/Qwen/Qwen2-VL-72B-Instruct](https://huggingface.co//mnt/zhangh/sicong/vl3_data/checkpoints/Qwen/Qwen2-VL-72B-Instruct) on the m3cot+llava-reasoner 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.46.0
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.20.3