distilbert-base-uncased-finetuned-stsb
This model is a fine-tuned version of SjardiWillems/distilbert-base-uncased-finetuned-stsb on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5419
- Pearson: 0.8736
- Spearmanr: 0.8702
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: 3.1992432473500055e-06
- train_batch_size: 64
- eval_batch_size: 16
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| No log | 1.0 | 90 | 0.5404 | 0.8727 | 0.8690 |
| No log | 2.0 | 180 | 0.5394 | 0.8736 | 0.8701 |
| No log | 3.0 | 270 | 0.5394 | 0.8738 | 0.8703 |
| No log | 4.0 | 360 | 0.5419 | 0.8736 | 0.8702 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2