Qwen3-1.7B-base-final/train_2026-01-03/README.md

library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
peft	other	/root/autodl-tmp/models/modelscope_cache/models/Qwen/Qwen3-1___7B-Base	llama-factory lora generated_from_trainer	name results train_2026-01-03

train_2026-01-03

This model is a fine-tuned version of /root/autodl-tmp/models/modelscope_cache/models/Qwen/Qwen3-1___7B-Base on the gpu_aiAgent_zh and the gpu_aiAgent_others datasets.

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: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 3.0

Training results

Framework versions

• PEFT 0.15.2
• Transformers 4.55.0
• Pytorch 2.2.0
• Datasets 3.6.0
• Tokenizers 0.21.4