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README.md
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---
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language: es
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tags:
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- biomedical
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- clinical
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- eHR
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- spanish
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- roberta-large-bne
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license: apache-2.0
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datasets:
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- "PlanTL-GOB-ES/cantemist-ner"
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metrics:
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- f1
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model-index:
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- name: IIC/roberta-large-bne-cantemist
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results:
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- task:
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type: token-classification
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dataset:
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name: cantemist-ner
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type: PlanTL-GOB-ES/cantemist-ner
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metrics:
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- name: f1
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type: f1
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value: 0.902
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widget:
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- text: "El diagnóstico definitivo de nuestro paciente fue de un Adenocarcinoma de pulmón cT2a cN3 cM1a Estadio IV (por una única lesión pulmonar contralateral) PD-L1 90%, EGFR negativo, ALK negativo y ROS-1 negativo."
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- text: "Durante el ingreso se realiza una TC, observándose un nódulo pulmonar en el LII y una masa renal derecha indeterminada. Se realiza punción biopsia del nódulo pulmonar, con hallazgos altamente sospechosos de carcinoma."
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- text: "Trombosis paraneoplásica con sospecha de hepatocarcinoma por imagen, sobre hígado cirrótico, en paciente con índice Child-Pugh B."
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---
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# roberta-large-bne-cantemist
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This model is a finetuned version of roberta-large-bne for the cantemist dataset used in a benchmark in the paper TODO. The model has a F1 of 0.902
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Please refer to the original publication for more information TODO LINK
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## Parameters used
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| parameter | Value |
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|-------------------------|:-----:|
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| batch size | 16 |
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| learning rate | 1e05 |
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| classifier dropout | 0.1 |
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| warmup ratio | 0 |
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| warmup steps | 0 |
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| weight decay | 0 |
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| optimizer | AdamW |
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| epochs | 10 |
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| early stopping patience | 3 |
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## BibTeX entry and citation info
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```bibtex
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TODO
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```
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