---
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-finetuned-weibo-luobokuaipao
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-finetuned-weibo-luobokuaipao

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5350
- Accuracy: 0.6297

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 198  | 0.8916          | 0.6045   |
| No log        | 2.0   | 396  | 0.8631          | 0.6096   |
| 0.8202        | 3.0   | 594  | 1.0508          | 0.6096   |
| 0.8202        | 4.0   | 792  | 1.4061          | 0.5995   |
| 0.8202        | 5.0   | 990  | 1.7345          | 0.6171   |
| 0.3506        | 6.0   | 1188 | 1.8544          | 0.6599   |
| 0.3506        | 7.0   | 1386 | 2.1316          | 0.6045   |
| 0.1208        | 8.0   | 1584 | 2.3656          | 0.6020   |
| 0.1208        | 9.0   | 1782 | 2.5180          | 0.6171   |
| 0.1208        | 10.0  | 1980 | 2.5350          | 0.6297   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1