canbingol/qwen3-4B-Instruct-2507-conversational-tool-call

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qwen3-4B-Instruct-2507-conversational-tool-call

This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1739

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: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.20.0
• —Transformers 5.15.0
• —Pytorch 2.11.0+cu128
• —Datasets 5.0.1
• —Tokenizers 0.22.2