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CR_finetune
songyi-ng/CR_finetune
CR_finetune is a text classification model from songyi-ng. 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
- distilbert
- Access
- Public
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023
- SHA
- 2a125a72
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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. -->
CR_finetune
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2858
- Accuracy: 0.8889
- F1: 0.8883
- Precision: 0.8882
- Recall: 0.8889
- Learning Rate: 0.0000
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| 0.3569 | 1.0 | 302 | 0.3279 | 0.8756 | 0.8761 | 0.8768 | 0.8756 | 0.0000 |
| 0.3371 | 2.0 | 604 | 0.3203 | 0.8590 | 0.8568 | 0.8579 | 0.8590 | 0.0000 |
| 0.322 | 3.0 | 906 | 0.3120 | 0.8690 | 0.8677 | 0.8679 | 0.8690 | 0.0000 |
| 0.3133 | 4.0 | 1208 | 0.3000 | 0.8706 | 0.8694 | 0.8695 | 0.8706 | 0.0000 |
| 0.306 | 5.0 | 1510 | 0.3015 | 0.8789 | 0.8794 | 0.8800 | 0.8789 | 0.0000 |
| 0.2984 | 6.0 | 1812 | 0.2916 | 0.8856 | 0.8851 | 0.8849 | 0.8856 | 0.0000 |
| 0.2893 | 7.0 | 2114 | 0.3101 | 0.8839 | 0.8849 | 0.8875 | 0.8839 | 0.0000 |
| 0.288 | 8.0 | 2416 | 0.2899 | 0.8839 | 0.8833 | 0.8831 | 0.8839 | 0.0000 |
| 0.2862 | 9.0 | 2718 | 0.2944 | 0.8856 | 0.8860 | 0.8866 | 0.8856 | 0.0000 |
| 0.2882 | 10.0 | 3020 | 0.2848 | 0.8872 | 0.8859 | 0.8867 | 0.8872 | 0.0000 |
| 0.2799 | 11.0 | 3322 | 0.2858 | 0.8889 | 0.8883 | 0.8882 | 0.8889 | 0.0000 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023