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mitre-bert-base-cased
bencyc1129/mitre-bert-base-cased
mitre-bert-base-cased is a text classification model from bencyc1129. 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 15, 2024
- Updated
- Apr 15, 2024
- SHA
- 013b2fd1
Try a prompt
Base models
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. -->
mitre-bert-base-cased
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: 1.0145
- Accuracy: 0.6994
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2761 | 0.68 | 500 | 0.8453 | 0.6864 |
| 0.7448 | 1.36 | 1000 | 0.7566 | 0.7164 |
| 0.6056 | 2.04 | 1500 | 0.7187 | 0.7318 |
| 0.4763 | 2.72 | 2000 | 0.7134 | 0.7307 |
| 0.4276 | 3.41 | 2500 | 0.7604 | 0.7420 |
| 0.3855 | 4.09 | 3000 | 0.7493 | 0.7362 |
| 0.3303 | 4.77 | 3500 | 0.7727 | 0.7423 |
| 0.313 | 5.45 | 4000 | 0.8053 | 0.7263 |
| 0.2948 | 6.13 | 4500 | 0.8555 | 0.7280 |
| 0.2779 | 6.81 | 5000 | 0.8839 | 0.7127 |
| 0.2526 | 7.49 | 5500 | 0.9097 | 0.7144 |
| 0.2576 | 8.17 | 6000 | 0.9421 | 0.7171 |
| 0.2461 | 8.86 | 6500 | 0.9821 | 0.7018 |
| 0.2357 | 9.54 | 7000 | 1.0145 | 0.6994 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 15, 2024
- Updated
- Apr 15, 2024