llama-duo/llama3.1-8b-coding-gpt4o-100k

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llama3.1-8b-coding-gpt4o-100k

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the llama-duo/synthcodingdataset_dedup dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3444

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: 0.0002
• —trainbatchsize: 4
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.43.4
• —Pytorch 2.4.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1