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bert-base-bible2
zeon8985army/bert-base-bible2
bert-base-bible2 is a text classification model from zeon8985army. 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
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 82b4dcfb
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Base models
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-base-bible2
This model is a fine-tuned version of bert-base-cased on the BastianGroundTruth2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 1.0
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: 6e-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
- lr_scheduler_warmup_steps: 18
- training_steps: 90
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.553 | 1.06 | 18 | 0.2484 | 1.0 |
| 0.1121 | 2.12 | 36 | 0.0025 | 1.0 |
| 0.0466 | 3.18 | 54 | 0.0008 | 1.0 |
| 0.0142 | 4.24 | 72 | 0.0005 | 1.0 |
| 0.0178 | 5.29 | 90 | 0.0004 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023