SU-FMI-AI/multiclinner-enigma-es-disease-xlm-roberta-large

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xlm-roberta-large-spanish-clinicalesdisease

This model is a fine-tuned version of llange/xlm-roberta-large-spanish-clinical on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0016
• —Precision: 0.9939
• —Recall: 0.9967
• —F1: 0.9953
• —Accuracy: 0.9995

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: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 5.4.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.4
• —Tokenizers 0.22.2