Downloads · 30 days
6
3% of all-time downloads
roberta-base.CEBaB_confounding.observational.absa.5-class.seed_43
KarelDO/roberta-base.CEBaB_confounding.observational.absa.5-class.seed_43
roberta-base.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. --
All-time downloads
210
Public
Repo size
997 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 99%
At a glance
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022
- SHA
- c8c53fa4
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. -->
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
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022