SimpleBerry/LLaMA-O1-Base-1127

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SimpleBerry/LLaMA-O1-Base-1127

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the longcot_pt dataset.

Do not use this model without supervised training, please use LLaMA-O1-Supervised-1129 for directly usage.

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: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 24
• —totaltrainbatch_size: 24
• —totalevalbatch_size: 192
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 4.0

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.3.1
• —Datasets 3.1.0
• —Tokenizers 0.20.1