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xlm-roberta-large-livingner3

Text Classification

xlm-roberta-large

Model card Files Files and versions

xlm-roberta-large-livingner3

This model is a finetuned version of xlm-roberta-large for the livingner3 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.606

Please refer to the original publication for more information TODO LINK

Parameters used

parameter	Value
batch size	16
learning rate	2e-05
classifier dropout	0
warmup ratio	0
warmup steps	0
weight decay	0
optimizer	AdamW
epochs	10
early stopping patience	3

BibTeX entry and citation info

TODO

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Safetensors

Model size

0.6B params

Tensor type

I64

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F32

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Dataset used to train IIC/xlm-roberta-large-livingner3

Collection including IIC/xlm-roberta-large-livingner3

👨🏻‍⚕️ Spanish Clinical Encoders Analysis

Models and datasets used in the paper `A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks` • 92 items • Updated Mar 24 • 1

Evaluation results

f1 on livingner3
test set self-reported

0.606

View on Papers With Code