---
base_model: nghuyong/ernie-2.0-large-en
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: ernie-2.0-large-en-finetuned-stsb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ernie-2.0-large-en-finetuned-stsb

This model is a fine-tuned version of [nghuyong/ernie-2.0-large-en](https://huggingface.co/nghuyong/ernie-2.0-large-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3323
- Pearson: 0.9239
- Spearmanr: 0.9222

## 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  | 0.4713          | 0.9092  | 0.9111    |
| 0.5167        | 2.0   | 720  | 0.4516          | 0.9180  | 0.9179    |
| 0.2           | 3.0   | 1080 | 0.3402          | 0.9238  | 0.9211    |
| 0.2           | 4.0   | 1440 | 0.3452          | 0.9238  | 0.9226    |
| 0.1002        | 5.0   | 1800 | 0.3323          | 0.9239  | 0.9222    |


### Framework versions

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