klcsp/llama3.1-8b-gpt4o_100k_coding-lora

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llama3.1-8b-gpt4o100kcoding-lora

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the llama-duo/synthcodingdataset_dedup dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2769

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: 0.0003
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.13.0
• —Transformers 4.45.1
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.0