selsar/nli-professional-status

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nli-professional-status

This model is a fine-tuned version of EuroBERT/EuroBERT-610m on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5105
• —Accuracy: 0.8906
• —Precision Binary: 0.5169
• —Recall Binary: 0.3770
• —F1 Binary: 0.4360
• —Precision Micro: 0.8906
• —Recall Micro: 0.8906
• —F1 Micro: 0.8906
• —F1 Macro: 0.6877
• —Pr Auc: 0.8671
• —Cohen Kappa: 0.3771

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: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.52.2
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1