bert-base-finetuned-sts
This model is a fine-tuned version of klue/bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4525
- Pearsonr: 0.8934
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: 384
- eval_batch_size: 384
- 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 | 31 | 0.5396 | 0.8764 |
| No log | 2.0 | 62 | 0.5118 | 0.8854 |
| No log | 3.0 | 93 | 0.4525 | 0.8934 |
| No log | 4.0 | 124 | 0.5232 | 0.8902 |
| No log | 5.0 | 155 | 0.5057 | 0.8919 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for leezy-31/bert-base-finetuned-sts
Base model
klue/bert-base