curtsmith/llama-cot-o1

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llama-cot-o1

This model is a fine-tuned version of meta-llama/Llama-3.2-3b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6532

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: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.47.1
• —Pytorch 2.5.1
• —Datasets 3.2.0
• —Tokenizers 0.21.0