metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert-base-uncased-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: 0.8651841336703003
distilbert-base-uncased-finetuned-stsb
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5634
- Pearson: 0.8680
- Spearmanr: 0.8652
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 | 0.6646 | 0.8516 | 0.8494 |
| 1.0238 | 2.0 | 720 | 0.5617 | 0.8666 | 0.8637 |
| 0.3952 | 3.0 | 1080 | 0.6533 | 0.8649 | 0.8646 |
| 0.3952 | 4.0 | 1440 | 0.5889 | 0.8651 | 0.8625 |
| 0.2488 | 5.0 | 1800 | 0.5634 | 0.8680 | 0.8652 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1