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sequence-ranker-for-llm-ontology-bert-base
bert-base/sequence-ranker-for-llm-ontology-bert-base
sequence-ranker-for-llm-ontology-bert-base is a text classification model from bert-base. 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
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- c0e4fff2
Try a prompt
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. -->
test_trainer
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9288
- F1: 0.3417
- Precision: 0.3049
- Recall: 0.3886
- Accuracy: 0.7403
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: 1e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.6937 | 1.0 | 285 | 0.6848 | 0.2469 | 0.2048 | 0.3109 | 0.6712 |
| 0.6774 | 2.0 | 570 | 0.6578 | 0.3290 | 0.3265 | 0.3316 | 0.7655 |
| 0.6431 | 3.0 | 855 | 0.6637 | 0.3633 | 0.2727 | 0.5440 | 0.6694 |
| 0.5785 | 4.0 | 1140 | 0.6920 | 0.3648 | 0.3114 | 0.4404 | 0.7341 |
| 0.5287 | 5.0 | 1425 | 0.7739 | 0.3767 | 0.3418 | 0.4197 | 0.7592 |
| 0.4635 | 6.0 | 1710 | 0.8374 | 0.3390 | 0.2867 | 0.4145 | 0.7197 |
| 0.4317 | 7.0 | 1995 | 0.9103 | 0.3412 | 0.3144 | 0.3731 | 0.7502 |
| 0.4018 | 8.0 | 2280 | 0.9288 | 0.3417 | 0.3049 | 0.3886 | 0.7403 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024