BFS-Search/llama_peft_relation_classification

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llamapeftrelation_classification

This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the I2B2(medical) dataset. It achieves the following results on the evaluation set:

• —Loss: nan
• —Accuracy: 0.0255
• —Precision: 0.0007
• —Recall: 0.0255
• —F1: 0.0013

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: 0.0003
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.13.0
• —Transformers 4.44.2
• —Pytorch 2.4.0
• —Datasets 3.0.0
• —Tokenizers 0.19.1