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benchmark-finetuned-bert
hazrulakmal/benchmark-finetuned-bert
benchmark-finetuned-bert is a text classification model from hazrulakmal. 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 7, 2022
- Updated
- Aug 16, 2022
- SHA
- a426b6d1
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. -->
benchmark-finetuned-bert
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: 0.3995
- Accuracy: 0.8479
- F1: 0.8480
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7981 | 1.0 | 48 | 0.6349 | 0.7037 | 0.6527 |
| 0.5263 | 2.0 | 96 | 0.4732 | 0.8320 | 0.8321 |
| 0.3521 | 3.0 | 144 | 0.4009 | 0.8426 | 0.8413 |
| 0.268 | 4.0 | 192 | 0.3995 | 0.8479 | 0.8480 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 7, 2022
- Updated
- Aug 16, 2022