clembench-playpen/meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E2_D50004

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meta-llama-Meta-Llama-3.1-8B-InstructSFTE2_D50004

This model is a fine-tuned version of unsloth/meta-llama-3.1-8b-instruct-bnb-4bit on the None dataset.

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: 8
• —seed: 7331
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —lrschedulerwarmup_steps: 5
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1