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kcbert-base-finetuned
tucan9389/kcbert-base-finetuned
kcbert-base-finetuned is a text classification model from tucan9389. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 21, 2021
- SHA
- 9cedac92
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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. -->
kcbert-base-finetuned
This model is a fine-tuned version of beomi/kcbert-base on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7393
- Accuracy: 0.8330
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 |
|---|---|---|---|---|
| 0.4612 | 1.0 | 2855 | 0.5216 | 0.8143 |
| 0.3061 | 2.0 | 5710 | 0.5130 | 0.8248 |
| 0.2129 | 3.0 | 8565 | 0.6062 | 0.8257 |
| 0.1337 | 4.0 | 11420 | 0.7393 | 0.8330 |
| 0.0653 | 5.0 | 14275 | 0.8651 | 0.8302 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Oct 21, 2021