metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cantemist-ner
metrics:
- f1
model-index:
- name: biomedical-roberta-finetuned-cantemist-test
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: cantemist-ner
type: cantemist-ner
config: CantemistNer
split: train
args: CantemistNer
metrics:
- name: F1
type: f1
value: 0.8379235519946587
biomedical-roberta-finetuned-cantemist-test
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