---
license: apache-2.0
base_model: shibing624/text2vec-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ch_text_001
  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. -->

# ch_text_001

This model is a fine-tuned version of [shibing624/text2vec-base-chinese](https://huggingface.co/shibing624/text2vec-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0768
- Accuracy: 0.9870

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0781        | 1.0   | 2125 | 0.0781          | 0.9849   |
| 0.0545        | 2.0   | 4250 | 0.0768          | 0.9870   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0