|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- pearsonr |
|
- spearmanr |
|
model-index: |
|
- name: deberta-v3-base-finetuned-FFT-STSB |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
args: stsb |
|
metrics: |
|
- name: Pearsonr |
|
type: pearsonr |
|
value: 0.9083306190960106 |
|
- name: Spearmanr |
|
type: spearmanr |
|
value: 0.9063517759229397 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# deberta-v3-base-finetuned-fft-stsb |
|
|
|
This model is a fine-tuned version of [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Pearsonr: 0.9083 |
|
- Spearmanr: 0.9064 |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- weight_decay: 0.01 |
|
- num_epochs: 3 |
