NanQiangHF/Meta-Llama-3-8B-Instruct-Generator-logging

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Meta-Llama-3-8B-Instruct-Generator-logging

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

• —Loss: 8.7282

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.42.0.dev0
• —Pytorch 2.3.0+cu121
• —Datasets 2.14.7
• —Tokenizers 0.19.1