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bert_ai
amalik27/bert_ai
bert_ai is a text classification model from amalik27. 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 11, 2023
- Updated
- Apr 11, 2023
- SHA
- 31060920
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. -->
bert_ai
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: 0.0761
- Accuracy: 0.9913
- F1: 0.9913
- Precision: 0.9833
- Recall: 0.9995
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0358 | 1.0 | 6059 | 0.0390 | 0.9923 | 0.9923 | 0.9859 | 0.9989 |
| 0.0187 | 2.0 | 12118 | 0.0738 | 0.9884 | 0.9884 | 0.9779 | 0.9993 |
| 0.0056 | 3.0 | 18177 | 0.0761 | 0.9913 | 0.9913 | 0.9833 | 0.9995 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 11, 2023
- Updated
- Apr 11, 2023