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