liy140/bert-base-uncased_relevance_extractor_secondary_binary

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bert-base-uncasedrelevanceextractorsecondarybinary

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

• —Loss: 0.2620
• —F1: 0.8404

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: 6e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.34.0
• —Pytorch 1.13.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.14.1