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---
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 |