clembench-playpen/llama-3.1-8B-Instruct-warmup-0.1K-steps-full-prompt_playpen_SFT-e3_DFINAL_0.7K-steps

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llama-3.1-8B-Instruct-warmup-0.1K-steps-full-promptplaypenSFT-e3DFINAL0.7K-steps

This model is a fine-tuned version of unsloth/meta-llama-3.1-8b-instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2393

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: Use adamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —lrschedulerwarmup_steps: 5
• —training_steps: 700

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.47.1
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.21.0