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
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Evaluation results
- Accuracy on OpenTable OPENTABLE-ABSAself-reported0.886