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roberta-large-finetuned-fever
learn3r/roberta-large-finetuned-fever
roberta-large-finetuned-fever is a text classification model from learn3r. 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
- Jul 24, 2023
- Updated
- Jul 25, 2023
- SHA
- a8ee1c9f
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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-large-finetuned-fever
This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4493
- Accuracy: 0.922
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1569 | 1.0 | 2500 | 0.3678 | 0.919 |
| 0.1205 | 2.0 | 5000 | 0.3734 | 0.92 |
| 0.0751 | 3.0 | 7500 | 0.4753 | 0.9215 |
| 0.0722 | 4.0 | 10000 | 0.4493 | 0.922 |
| 0.0445 | 5.0 | 12500 | 0.5285 | 0.9185 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 24, 2023
- Updated
- Jul 25, 2023