normal trash
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trash_mail_cls_2022
  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. -->

# trash_mail_cls_2022

This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0382
- Accuracy: 0.9937

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 80   | 0.1528          | 0.9438   |
| No log        | 2.0   | 160  | 0.0808          | 0.9812   |
| No log        | 3.0   | 240  | 0.1004          | 0.9563   |
| No log        | 4.0   | 320  | 0.0456          | 0.9812   |
| No log        | 5.0   | 400  | 0.0541          | 0.9875   |
| No log        | 6.0   | 480  | 0.0382          | 0.9937   |
| 0.0949        | 7.0   | 560  | 0.0501          | 0.9937   |
| 0.0949        | 8.0   | 640  | 0.0384          | 0.9937   |
| 0.0949        | 9.0   | 720  | 0.0384          | 0.9812   |
| 0.0949        | 10.0  | 800  | 0.0391          | 0.9875   |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu102
- Datasets 2.3.1
- Tokenizers 0.11.6
