---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ernie-1.0-base-zh-laure-swag
  results: []
---

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# ernie-1.0-base-zh-laure-swag

This model is a fine-tuned version of [nghuyong/ernie-1.0-base-zh](https://huggingface.co/nghuyong/ernie-1.0-base-zh) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0037
- Accuracy: 0.8000

## 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: 5e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 1.0264          | 0.7600   |
| No log        | 2.0   | 14   | 0.9992          | 0.75     |
| No log        | 3.0   | 21   | 1.0037          | 0.8000   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3