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bert-base-finetuned-sts
gyeoldere/bert-base-finetuned-sts
bert-base-finetuned-sts is a text classification model from gyeoldere. 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
- Dec 30, 2022
- Updated
- Jan 3, 2023
- SHA
- e7ac12b0
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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. -->
bert-base-finetuned-sts
This model is a fine-tuned version of klue/bert-base on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5543
- Pearsonr: 0.8823
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: 256
- eval_batch_size: 256
- 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 | 46 | 0.6248 | 0.8466 |
| No log | 2.0 | 92 | 0.5657 | 0.8710 |
| No log | 3.0 | 138 | 0.5442 | 0.8801 |
| No log | 4.0 | 184 | 0.5262 | 0.8823 |
| No log | 5.0 | 230 | 0.5543 | 0.8823 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 30, 2022
- Updated
- Jan 3, 2023