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nbbert_NCST
yemen2016/nbbert_NCST
nbbert_NCST is a text classification model from yemen2016. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024
- SHA
- b9383f62
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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. -->
nbbert_NCST
This model is a fine-tuned version of NbAiLab/nb-bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4123
- F1-score: 0.8174
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 | F1-score |
|---|---|---|---|---|
| 0.5078 | 1.0 | 535 | 0.4123 | 0.8174 |
| 0.417 | 2.0 | 1070 | 0.4540 | 0.8027 |
| 0.2917 | 3.0 | 1605 | 0.5587 | 0.8007 |
| 0.1978 | 4.0 | 2140 | 0.8186 | 0.7875 |
| 0.1333 | 5.0 | 2675 | 0.9502 | 0.7917 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024