👨🏻⚕️ Spanish Clinical Encoders Analysis
Collection
Models and datasets used in the paper `A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks`
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92 items
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Updated
This model is a finetuned version of xlm-roberta-large for the distemist dataset used in a benchmark in the paper TODO. The model has a F1 of 0.817
Please refer to the original publication for more information TODO LINK
parameter | Value |
---|---|
batch size | 16 |
learning rate | 4e-05 |
classifier dropout | 0 |
warmup ratio | 0 |
warmup steps | 0 |
weight decay | 0 |
optimizer | AdamW |
epochs | 10 |
early stopping patience | 3 |
TODO