| | --- |
| | language: |
| | - en |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - spearmanr |
| | base_model: bert-base-uncased |
| | model-index: |
| | - name: bert-base-uncased-stsb |
| | results: |
| | - task: |
| | type: text-classification |
| | name: Text Classification |
| | dataset: |
| | name: GLUE STSB |
| | type: glue |
| | args: stsb |
| | metrics: |
| | - type: spearmanr |
| | value: 0.8843169724798454 |
| | name: Spearmanr |
| | --- |
| | |
| | <!-- 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-uncased-stsb |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE STSB dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5144 |
| | - Pearson: 0.8875 |
| | - Spearmanr: 0.8843 |
| | - Combined Score: 0.8859 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
| | | No log | 1.0 | 180 | 0.5179 | 0.8806 | 0.8735 | 0.8771 | |
| | | No log | 2.0 | 360 | 0.5145 | 0.8850 | 0.8820 | 0.8835 | |
| | | 0.7868 | 3.0 | 540 | 0.5144 | 0.8875 | 0.8843 | 0.8859 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.0.dev0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
