qwen2vl_lora
This model is a fine-tuned version of OS-Copilot/OS-Atlas-Base-7B on the train 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for korbih/OS-Atlas-Base-7B-LoRA-test-aguvis_1000_full_history_with_eval_1024_lora
Base model
Qwen/Qwen2-VL-7B
Finetuned
Qwen/Qwen2-VL-7B-Instruct
Finetuned
OS-Copilot/OS-Atlas-Base-7B