---
license: apache-2.0
base_model: SjardiWillems/distilbert-base-uncased-finetuned-stsb
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: distilbert-base-uncased-finetuned-stsb
  results: []
---

<!-- 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. -->

# distilbert-base-uncased-finetuned-stsb

This model is a fine-tuned version of [SjardiWillems/distilbert-base-uncased-finetuned-stsb](https://huggingface.co/SjardiWillems/distilbert-base-uncased-finetuned-stsb) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5419
- Pearson: 0.8736
- Spearmanr: 0.8702

## 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: 3.1992432473500055e-06
- train_batch_size: 64
- eval_batch_size: 16
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| No log        | 1.0   | 90   | 0.5404          | 0.8727  | 0.8690    |
| No log        | 2.0   | 180  | 0.5394          | 0.8736  | 0.8701    |
| No log        | 3.0   | 270  | 0.5394          | 0.8738  | 0.8703    |
| No log        | 4.0   | 360  | 0.5419          | 0.8736  | 0.8702    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2