---
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-chinese-climate-related-prediction-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-chinese-climate-related-prediction-3

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: 0.1286
- Accuracy: 0.99

## 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: 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   | 175  | 0.1829          | 0.98     |
| No log        | 2.0   | 350  | 0.1678          | 0.97     |
| 0.0179        | 3.0   | 525  | 0.1448          | 0.98     |
| 0.0179        | 4.0   | 700  | 0.1762          | 0.98     |
| 0.0179        | 5.0   | 875  | 0.1733          | 0.98     |
| 0.0043        | 6.0   | 1050 | 0.1777          | 0.98     |
| 0.0043        | 7.0   | 1225 | 0.1259          | 0.99     |
| 0.0043        | 8.0   | 1400 | 0.1275          | 0.99     |
| 0.0037        | 9.0   | 1575 | 0.1283          | 0.99     |
| 0.0037        | 10.0  | 1750 | 0.1286          | 0.99     |


### Framework versions

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