qwen2vl_lora
This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on the talk2car 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for saim1212/Qwen2-VL-7B-Instruct-LoRA-FT
Base model
Qwen/Qwen2-VL-7B-Instruct