pkbiswas/Llama-3.1-8B-Summarization-QLoRa

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Llama-3.1-8B-Summarization-QLoRa

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the scitldr dataset. It achieves the following results on the evaluation set:

• —Loss: 2.3813

Model description

More information needed

Intended uses & limitations

Summarization

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: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

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