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gpt2.CEBaB_confounding.observational.absa.5-class.seed_43
KarelDO/gpt2.CEBaB_confounding.observational.absa.5-class.seed_43
gpt2.CEBaB_confounding.observational.absa.5-class.seed_43 is a machine learning model from KarelDO. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022
- SHA
- 6c820add
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. -->
gpt2.CEBaB_confounding.observational.absa.5-class.seed_43
This model is a fine-tuned version of gpt2 on the OpenTable OPENTABLE-ABSA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5130
- Accuracy: 0.8262
- Macro-f1: 0.8221
- Weighted-macro-f1: 0.8266
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
- Library
- transformers
- Type
- gpt2
- License
- mit
- Languages
- en
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022