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kpfbert-sts-1
eeeyounglee/kpfbert-sts-1
kpfbert-sts-1 is a machine learning model from eeeyounglee. 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
- Aug 8, 2024
- Updated
- Aug 8, 2024
- SHA
- 24a29a1e
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. -->
kpfbert-sts-1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4351
- Pearsonr: 0.9182
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: 128
- eval_batch_size: 128
- 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 | Pearsonr |
|---|---|---|---|---|
| No log | 1.0 | 92 | 0.7127 | 0.8759 |
| No log | 2.0 | 184 | 0.5016 | 0.9080 |
| No log | 3.0 | 276 | 0.4219 | 0.9153 |
| No log | 4.0 | 368 | 0.4920 | 0.9114 |
| No log | 5.0 | 460 | 0.4351 | 0.9182 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- bert
- Created
- Aug 8, 2024
- Updated
- Aug 8, 2024