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bigbird-roberta-base-finetuned-enem
Angelinis/bigbird-roberta-base-finetuned-enem
bigbird-roberta-base-finetuned-enem is a multiple choice model from Angelinis. Use it for the multiple choice 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- big_bird
- Access
- Public
- Created
- Nov 29, 2023
- Updated
- Nov 30, 2023
- SHA
- 8eb1f279
Base models
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. -->
bigbird-roberta-base-finetuned-enem
This model is a fine-tuned version of google/bigbird-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2053
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6199 | 1.0 | 933 | 1.6094 | 0.2063 |
| 1.623 | 2.0 | 1866 | 1.6094 | 0.2079 |
| 1.6214 | 3.0 | 2799 | 1.6094 | 0.2053 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- multiple choice
- Library
- transformers
- Type
- big_bird
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Nov 30, 2023