qwen3-8b-deita-sft-teacher/README.md

library_name, license, base_model, tags, datasets, model-index

library_name	license	base_model	tags	datasets	model-index
transformers	apache-2.0	Qwen/Qwen3-8B-Base	alignment-handbook generated_from_trainer	HuggingFaceH4/deita-10k-v0-sft	name results qwen3-8b-deita-sft-teacher

qwen3-8b-deita-sft-teacher

This model is a fine-tuned version of Qwen/Qwen3-8B-Base on the HuggingFaceH4/deita-10k-v0-sft 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: 2.5e-05
• train_batch_size: 16
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 32
• total_eval_batch_size: 2
• 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: 0.1
• num_epochs: 1

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.11.0+cu128
• Datasets 3.2.0
• Tokenizers 0.21.4