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bert-small-finetuned-eoir_privacy
muhtasham/bert-small-finetuned-eoir_privacy
bert-small-finetuned-eoir_privacy is a text classification model from muhtasham. 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
- Aug 14, 2022
- Updated
- Aug 14, 2022
- SHA
- bfbcf906
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Datasets
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_uncased_L-4_H-512_A-8-finetuned-eoir_privacy
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the eoir_privacy dataset. It achieves the following results on the evaluation set:
- Loss: 0.2159
- Accuracy: 0.9175
- F1: 0.8093
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 63 | 0.2343 | 0.9125 | 0.7953 |
| No log | 2.0 | 126 | 0.2269 | 0.9110 | 0.8006 |
| No log | 3.0 | 189 | 0.2159 | 0.9175 | 0.8093 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 14, 2022
- Updated
- Aug 14, 2022