jaycentg/eng-mbert-focal

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eng-mbert-focal

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

• —Loss: 22.0476
• —F1-micro: 0.5759
• —F1-macro: 0.5148

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 27
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.19.1