KitLKY/qwen2p5-orange-lora1.0

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

train_2025-10-06-13-31-14

This model is a fine-tuned version of Qwen/Qwen2.5-3B on the orange dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2978
• —Num Input Tokens Seen: 94608

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: 3e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 8.0

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.4
• —Pytorch 2.8.0+cpu
• —Datasets 3.6.0
• —Tokenizers 0.21.1