garypak/llama3.2-1b-rumour-samples

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llama3.2-1b-rumour-samples

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0669
• —Accuracy: 0.5449

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: 2.5e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 7788
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwhf with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.2
• —num_epochs: 8
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.47.0.dev0
• —Pytorch 2.5.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3