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roberta-base-mnli-negnli
joey234/roberta-base-mnli-negnli
roberta-base-mnli-negnli is a text classification model from joey234. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022
- SHA
- f25ee9dc
Try a prompt
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. -->
roberta2-base-mnli-negnli
This model is a fine-tuned version of sileod/roberta-base-mnli on the GLUE MNLI dataset and the MNLI subset in NegNLI. It achieves the following results on the evaluation set:
- Loss: 0.8397
- Accuracy: 0.8400
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: 8
- eval_batch_size: 8
- seed: 42
- 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 4.21.0.dev0
- Pytorch 1.8.0
- Datasets 1.18.3
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 14, 2022
- Updated
- Oct 14, 2022