---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-VL-7B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-VL-7B-Instruct
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: Qwen2.5-VL-7B-sft-pcagnet-boost-all
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Qwen2.5-VL-7B-sft-pcagnet-boost-all

This model is a fine-tuned version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) on the rule_filter_boost_all 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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 2

### Training results



### Framework versions

- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2