metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: distilbert-base-uncased-finetuned-stsb
results: []
distilbert-base-uncased-finetuned-stsb
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5847
- Pearson: 0.8680
- Spearmanr: 0.8654
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| No log | 1.0 | 360 | 0.5994 | 0.8662 | 0.8644 |
| 1.0424 | 2.0 | 720 | 0.5847 | 0.8680 | 0.8654 |
| 0.3948 | 3.0 | 1080 | 0.5782 | 0.8679 | 0.8643 |
| 0.3948 | 4.0 | 1440 | 0.5639 | 0.8667 | 0.8631 |
| 0.2382 | 5.0 | 1800 | 0.5662 | 0.8670 | 0.8634 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2