mrm8488/ModernBERT-large-ft-fineweb-edu-annotations

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ModernBERT-large-ft-fineweb-edu-annotations

This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1702
• —F1 Score: 0.7571
• —Precision Score: 0.7609
• —Recall Score: 0.7554

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: 8e-05
• —trainbatchsize: 24
• —evalbatchsize: 24
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.98) and epsilon=1e-06 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.48.0.dev0
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0