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lstm.CEBaB_confounding.observational.absa.5-class.seed_43
KarelDO/lstm.CEBaB_confounding.observational.absa.5-class.seed_43
lstm.CEBaB_confounding.observational.absa.5-class.seed_43 is a text classification model from KarelDO. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022
- SHA
- 42ea06a2
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
lstm.CEBaB_confounding.observational.absa.5-class.seed_43
This model is a fine-tuned version of lstm on the OpenTable OPENTABLE-ABSA dataset. It achieves the following results on the evaluation set:
- Loss: 0.8687
- Accuracy: 0.6612
- Macro-f1: 0.6553
- Weighted-macro-f1: 0.6627
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: 0.001
- 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
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022