albertmartinez/openalex-topic-classification-title-abstract

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

openalex-topic-classification-title-abstract

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.1286
• —Accuracy: 0.5287

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: 128
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.49.0.dev0
• —Pytorch 2.6.0+cu118
• —Datasets 2.19.2
• —Tokenizers 0.21.0