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kcbert-interview-sentiment-ex1
aetin/kcbert-interview-sentiment-ex1
kcbert-interview-sentiment-ex1 is a machine learning model from aetin. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026
- SHA
- 17071f83
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. -->
kcbert-interview-sentiment-ex1
This model is a fine-tuned version of alsgyu/sentiment-analysis-fine-tuned-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8484
- Accuracy: 0.8331
- Macro F1: 0.7797
- Weighted F1: 0.8382
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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 |
|---|---|---|---|---|---|---|
| 0.2373 | 1.0 | 999 | 0.6532 | 0.8247 | 0.7701 | 0.8299 |
| 0.1028 | 2.0 | 1998 | 0.7480 | 0.8347 | 0.7729 | 0.8391 |
| 0.045 | 3.0 | 2997 | 0.8484 | 0.8331 | 0.7797 | 0.8382 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.8.0+cu128
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- bert
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026