metadata
library_name: transformers
license: other
base_model: Qwen3.5-9B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: qwen35_caption_galore
results: []
qwen35_caption_galore
This model is a fine-tuned version of Qwen3.5-9B on the my_caption 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: language_lr = 1e-5 vision_lr = 3e-5 merger_lr = 1e-5
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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_with_min_lr
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 2.0
Training results
Framework versions
- Transformers 5.2.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2