qwen3_dynamic_lora_general_single_only

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aitw_reasoning_tf_raw_rl

This model is a fine-tuned version of Qwen/Qwen3-VL-8B-Instruct on the aitw_general_reasoning_tf_raw_rl_think_coord_only and the aitw_single_reasoning_tf_raw_rl_think_coord_only datasets. It achieves the following results on the evaluation set:

• Loss: 0.5224

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
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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_steps: 0.05
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.18.1
• Transformers 5.2.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2