llama-duo/llama3-1b-coding-gpt4o-100k2

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llama3.1-1b-coding-gpt4o-100k2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 1.6745

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: 0.002
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 512
• —totalevalbatch_size: 256
• —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: 10

Training results

Framework versions

• —PEFT 0.15.1
• —Transformers 4.50.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.1