user_simulator_uncertainty_threshold_40_sft_train_dataset

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the user_simulator_uncertainty_threshold_40_sft_train_dataset 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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• total_eval_batch_size: 64
• optimizer: Use 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: 0.03
• num_epochs: 3

Training results

Framework versions

• Transformers 4.55.0
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.1