qwen2_5vl_7b_63k_nores_jedi_5k_refusal_train_lr_1_0e-06_bs16_4nodes_z3_1epoch
This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the 63k-nores-jedi-5k-refusal-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: 1e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
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Model tree for aylinakkus/refusal-sft
Base model
Qwen/Qwen2.5-VL-7B-Instruct