---
license: apache-2.0
base_model: shibing624/text2vec-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: cosent-similarity-text2vec
  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. -->

# cosent-similarity-text2vec

This model is a fine-tuned version of [shibing624/text2vec-base-chinese](https://huggingface.co/shibing624/text2vec-base-chinese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1408
- Accuracy: 0.9605
- F1: 0.9670
- Precision: 0.9778
- Recall: 0.9565

## 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: 32
- eval_batch_size: 32
- 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 | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 22   | 0.2330          | 0.9211   | 0.9318 | 0.9762    | 0.8913 |
| No log        | 2.0   | 44   | 0.2088          | 0.9342   | 0.9438 | 0.9767    | 0.9130 |
| No log        | 3.0   | 66   | 0.1484          | 0.9605   | 0.9670 | 0.9778    | 0.9565 |
| No log        | 4.0   | 88   | 0.1370          | 0.9605   | 0.9670 | 0.9778    | 0.9565 |
| No log        | 5.0   | 110  | 0.1408          | 0.9605   | 0.9670 | 0.9778    | 0.9565 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1