xiaohaoWillX/policy_autorag_dis_train_p1

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policyautoragdistrainp1

This model is a fine-tuned version of /root/autodl-tmp/models/Qwen2.5-7B on the policyautoragdistrainp1 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3512

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
• —distributed_type: multi-GPU
• —num_devices: 3
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 6
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5.0

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.56.2
• —Pytorch 2.5.1+cu124
• —Datasets 4.0.0
• —Tokenizers 0.22.1