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mbti-classification-bert-base-uncased
Shunian/mbti-classification-bert-base-uncased
mbti-classification-bert-base-uncased is a text classification model from Shunian. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 15, 2022
- Updated
- Dec 15, 2022
- SHA
- 255d4862
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. -->
mbti-classification-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3272
- Accuracy: 0.2924
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.0851 | 1.0 | 13660 | 0.3052 | 2.0650 |
| 1.9902 | 2.0 | 27320 | 0.3105 | 2.0524 |
| 1.8139 | 3.0 | 40980 | 0.3029 | 2.1081 |
| 1.6191 | 4.0 | 54640 | 2.2604 | 0.2964 |
| 1.4893 | 5.0 | 68300 | 2.3272 | 0.2924 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu102
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 15, 2022
- Updated
- Dec 15, 2022