arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-64D-3L-4H-256I

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Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-64D-3L-4H-256I

This model is a fine-tuned version of meta-llama/Llama-3.3-70B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1502

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: 0.001
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.9.0+cu128
• —Datasets 4.5.0
• —Tokenizers 0.22.1