README.md

metadata

library_name: peft
license: other
base_model: Qwen/Qwen3-14B
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: verifier
    results: []

verifier

This model is a fine-tuned version of Qwen/Qwen3-14B on the deepswe-verifier-exitreason-agent-priority-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