Deberta V3 Large Absa

yangheng

deberta-v3-large-absa

Note This model is training with 180k+ ABSA samples, see ABSADatasets. Yet the test sets are not included in pre-training, so you can use this model for training and benchmarking on common ABSA datasets, e.g., Laptop14, Rest14 datasets. (Except for the Rest15 dataset!) DeBERTa for aspect-based sentiment analysis The deberta-v3-large-absa model for aspect-based sentiment analysis, trained with English datasets from ABSADatasets. Training Model This model is trained based on the FAST-LSA-T model with microsoft/deberta-v3-large, which comes from PyABSA. To track state-of-the-art models, please see PyASBA. Usage Example in PyASBA An example for using FAST-LSA-T in PyASBA Datasets This model is fine-tuned with 180k examples for the ABSA dataset (including augmented data). Training dataset files: If you use this model in your research, please cite our paper:

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Creator Models

ModelCostRuns
Deberta V3 Base Absa V1.1$?20,054
Deberta V3 Base Absa$?18
Deberta V3 Large Absa V1.1$?649
Pyabsa_checkpoints$?0

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Creatoryangheng
Model NameDeberta V3 Large Absa
Description

Note This model is training with 180k+ ABSA samples, see AB...

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