ner-roberta-es-clinical-trials-ner_v2

This model is a fine-tuned version of lcampillos/roberta-es-clinical-trials-ner on the jpherrerap/competencia2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.1542
• Body Part Precision: 0.0
• Body Part Recall: 0.0
• Body Part F1: 0.0
• Body Part Number: 0
• Disease Precision: 0.0
• Disease Recall: 0.0
• Disease F1: 0.0
• Disease Number: 0
• Medication Precision: 0.0
• Medication Recall: 0.0
• Medication F1: 0.0
• Medication Number: 0
• Procedure Precision: 0.0
• Procedure Recall: 0.0
• Procedure F1: 0.0
• Procedure Number: 0
• Overall Precision: 0.0
• Overall Recall: 0.0
• Overall F1: 0.0
• Overall Accuracy: 0.6672

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 13
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3