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KarelDO/
bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43

Name: bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43
Availability: InStock

transformers

pytorch

bert

generated_from_trainer

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bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43

This model is a fine-tuned version of bert-base-uncased on the OpenTable OPENTABLE-ABSA dataset. It achieves the following results on the evaluation set:

Loss: 0.4084
Accuracy: 0.8886
Macro-f1: 0.8860
Weighted-macro-f1: 0.8885

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

KarelDO/bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43

bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KarelDO/
bert-base-uncased.CEBaB_confounding.uniform.absa.5-class.seed_43