mtzig/qwen3-8b-tfdark-lora2

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qwen3-8b-tfdark-lora2

This model is a fine-tuned version of Qwen/Qwen3-8B on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4591

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: 2
• —evalbatchsize: 2
• —seed: 4234
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Use pagedadamw32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.56.2
• —Pytorch 2.8.0+cu128
• —Datasets 4.1.1
• —Tokenizers 0.22.1