This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es-cantemist on the cantemist-ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0597
F1: 0.8379

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.0015	1.0	607	0.0597	0.8379

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2

luisgasco/biomedical-roberta-finetuned-cantemist-test

biomedical-roberta-finetuned-cantemist-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

luisgasco/
biomedical-roberta-finetuned-cantemist-test