metadata
library_name: peft
base_model: Qwen/Qwen2.5-VL-3B-Instruct
tags:
- generated_from_trainer
model-index:
- name: out
results: []
out
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- 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: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.4.1+cu124
- Datasets 5.0.0
- Tokenizers 0.21.4