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bert-riddle-finetuned_2choice
shirzady1934/bert-riddle-finetuned_2choice
bert-riddle-finetuned_2choice is a multiple choice model from shirzady1934. 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
- bert
- Access
- Public
- Created
- Dec 13, 2023
- Updated
- Dec 13, 2023
- SHA
- ca994bc0
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. -->
bert_base_uncased
This model is a fine-tuned version of bert-base-uncased on the WP dataset. It achieves the following results on the evaluation set:
- Loss: 0.5591
- Accuracy: 0.8500
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: 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 |
|---|---|---|---|---|
| No log | 1.0 | 23 | 0.5552 | 0.8250 |
| No log | 2.0 | 46 | 0.4623 | 0.8250 |
| No log | 3.0 | 69 | 0.5304 | 0.8250 |
| No log | 4.0 | 92 | 0.5741 | 0.8500 |
| No log | 5.0 | 115 | 0.5591 | 0.8500 |
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
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 13, 2023
- Updated
- Dec 13, 2023