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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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