library_name, license, base_model, tags, datasets, pipeline_tag, model-index
| library_name | license | base_model | tags | datasets | pipeline_tag | model-index | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| peft | apache-2.0 | Qwen/Qwen2.5-VL-7B-Instruct |
|
|
text-generation |
|
agente-identificador-ft-V4
This model is a fine-tuned version of 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