ltuzova/citation_intent_classification_roberta

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citationintentclassification_roberta

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9427
• —Accuracy: 0.7986
• —F1 Macro: 0.6913

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.06
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.30.2
• —Pytorch 1.13.1+cu117
• —Datasets 2.13.2
• —Tokenizers 0.13.3