metadata
license: mit
=======
library_name: peft license: other base_model: Qwen/Qwen2.5-VL-7B-Instruct tags: - llama-factory - lora - generated_from_trainer model-index: - name: qwen2_5vl_arabic_model results: []
qwen2_5vl_arabic_model
This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the arabic_captions 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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: 15.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.49.0
- Pytorch 2.4.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1