metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-VL-2B-Instruct
tags:
- generated_from_trainer
model-index:
- name: STRIDE-M005-default-PMDM-Qwen3-VL-2B
results: []
STRIDE-M005-default-PMDM-Qwen3-VL-2B
This model is a fine-tuned version of Qwen/Qwen3-VL-2B-Instruct on an unknown 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: 4e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 64
- 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_steps: 512
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.7.0.dev20250224+cu126
- Tokenizers 0.22.1