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bert-base-uncased-IBM-argQ-30k
jakub014/bert-base-uncased-IBM-argQ-30k
bert-base-uncased-IBM-argQ-30k is a text classification model from jakub014. 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
- Mar 28, 2023
- Updated
- Mar 28, 2023
- SHA
- 9a3ebf81
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-base-uncased-IBM-argQ-30k
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5905
- Accuracy: 0.7344
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5553 | 1.0 | 1525 | 0.5541 | 0.7249 |
| 0.4613 | 2.0 | 3050 | 0.5905 | 0.7344 |
| 0.325 | 3.0 | 4575 | 0.7144 | 0.7209 |
| 0.218 | 4.0 | 6100 | 0.9566 | 0.7178 |
| 0.1563 | 5.0 | 7625 | 1.2740 | 0.7224 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 28, 2023
- Updated
- Mar 28, 2023