AshikAi96/Qwen1.5-0.5B-lora-finetuned-data-licensing

<!-- 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. -->

Qwen1.5-0.5B-lora-finetuned-data-licensing

This model is a fine-tuned version of Qwen/Qwen1.5-0.5B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2437

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: 0.0002
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —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
• —training_steps: 200

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1