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kc-bert_finetuned_unsmile
obokkkk/kc-bert_finetuned_unsmile
kc-bert_finetuned_unsmile is a text classification model from obokkkk. 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
- Jun 12, 2022
- Updated
- Jun 12, 2022
- SHA
- e5bbe648
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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. -->
kc-bert_finetuned_unsmile
This model is a fine-tuned version of beomi/kcbert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1326
- Lrap: 0.8753
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Lrap |
|---|---|---|---|---|
| No log | 1.0 | 235 | 0.1458 | 0.8612 |
| No log | 2.0 | 470 | 0.1280 | 0.8738 |
| 0.1685 | 3.0 | 705 | 0.1257 | 0.8791 |
| 0.1685 | 4.0 | 940 | 0.1281 | 0.8777 |
| 0.0774 | 5.0 | 1175 | 0.1326 | 0.8753 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 1.17.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 12, 2022
- Updated
- Jun 12, 2022