verifier_32b
This model is a fine-tuned version of Qwen/Qwen3-32B on the deepswe-verifier-only-matching-pairs-v1 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-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 64
- 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: 0.05
- num_epochs: 2.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.1.0
- Tokenizers 0.21.2
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Model tree for r2e-edits/deepswe-swebv-eval-n16-verifier-qwen3-32B-lora64-matching-pairs-v1
Base model
Qwen/Qwen3-32B