aslinguist/llama-lora-Amis-summarization

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mistral-lora-Amis-summarization

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.4894

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: 0.001
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.15.0
• —Transformers 4.51.2
• —Pytorch 2.2.2+cu118
• —Datasets 3.5.0
• —Tokenizers 0.21.1