TopperThijs/Llama3-narration-10-15

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Llama3-narration-10-15

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: 2.4607
• —Model Preparation Time: 0.0058

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: 2
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.43.3
• —Pytorch 2.3.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.19.1