HaoxinranYu/data-filtering-challenge-2025-model

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finetune

This model is a fine-tuned version of data4elm/Llama-400M-12L on the customized dataset.

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: 1e-05
• —trainbatchsize: 24
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 192
• —totalevalbatch_size: 64
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1.0

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.56.2
• —Pytorch 2.8.0+cu128
• —Datasets 2.14.6
• —Tokenizers 0.22.1