---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-VL-7B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-VL-7B-Instruct
- lora
- transformers
datasets:
- imagefolder
pipeline_tag: text-generation
model-index:
- name: agente-identificador-ft-V4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# agente-identificador-ft-V4

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 imagefolder 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: 3e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.19.1
- Transformers 4.49.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4