lihaoxin2020/qwen3.5-4B-evidence-subagent-gpt54-single-jina-v2-no-urls-64k-no-exact-cutoff-full-sft-v1-lr2e-5

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qwen3.5-4B-evidence-subagent-gpt54-single-jina-v2-no-urls-64k-no-exact-cutoff-full-sft-v1-lr2e-5

This model is a fine-tuned version of Qwen/Qwen3.5-4B on the evidencesubagentsftgpt54singlealljinav2alignednourls64knoexactcutoff dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5998

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: 2e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 2

Training results

Framework versions

• —Transformers 5.2.0
• —Pytorch 2.11.0+cu130
• —Datasets 4.8.5
• —Tokenizers 0.22.2