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roberta-base.CEBaB_confounding.observational.absa.5-class.seed_43 – AI Model by KarelDO | AlphaNeural AI
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KarelDO
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roberta-base.CEBaB_confounding.observational.absa.5-class.seed_43
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transformers
pytorch
roberta
generated_from_trainer
en
OpenTable
mit
model-index
endpoints_compatible
us
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roberta-base.CEBaB_confounding.observational.absa.5-class.seed_43
This model is a fine-tuned version of
roberta-base
on the OpenTable OPENTABLE-ABSA dataset. It achieves the following results on the evaluation set:
Loss: 0.4706
Accuracy: 0.8858
Macro-f1: 0.8840
Weighted-macro-f1: 0.8860
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.5.2
Tokenizers 0.12.1
