tanjumajerin/llama-3-freeze-full-data

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llama-3-full-data

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1187
• —Accuracy: 0.5827
• —F1: 0.5786
• —Precision: 0.5883
• —Recall: 0.5827

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.0
• —Pytorch 2.2.2+cu121
• —Datasets 2.18.0
• —Tokenizers 0.19.1