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model_output
g2castle/model_output
model_output is a text classification model from g2castle. Use it when you need a label for a piece of text. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- 1e738166
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. -->
model_output
This model is a fine-tuned version of beomi/kcbert-base on the unsmile_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.1302
- Lrap: 0.8790
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 | 0.1478 | 0.8576 |
| No log | 2.0 | 470 | 0.1286 | 0.8731 |
| 0.1743 | 3.0 | 705 | 0.1232 | 0.8812 |
| 0.1743 | 4.0 | 940 | 0.1286 | 0.8797 |
| 0.079 | 5.0 | 1175 | 0.1302 | 0.8790 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Type
- bert
- License
- apache-2.0
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024