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EDAnonymousvsN
Phoshco/EDAnonymousvsN
EDAnonymousvsN is a text classification model from Phoshco. 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
- Apr 10, 2023
- Updated
- Apr 10, 2023
- SHA
- e9859c73
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. -->
EDAnonymousvsN
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: 0.4876
- F1: 0.8914
- Roc Auc: 0.8899
- Accuracy: 0.8914
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: 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 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.3665 | 1.0 | 875 | 0.3116 | 0.889 | 0.8858 | 0.889 |
| 0.253 | 2.0 | 1750 | 0.2832 | 0.8884 | 0.8866 | 0.8884 |
| 0.2082 | 3.0 | 2625 | 0.3573 | 0.8934 | 0.8915 | 0.8934 |
| 0.1422 | 4.0 | 3500 | 0.4506 | 0.8932 | 0.8926 | 0.8932 |
| 0.0953 | 5.0 | 4375 | 0.4876 | 0.8914 | 0.8899 | 0.8914 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 10, 2023
- Updated
- Apr 10, 2023