---
base_model: hfl/chinese-roberta-wwm-ext
library_name: transformers
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: chinese-roberta-climate-related-prediction-a2
  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. -->

# chinese-roberta-climate-related-prediction-a2

This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2445
- Accuracy: 0.97

## 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  | 0.3841          | 0.94     |
| No log        | 2.0   | 350  | 0.2717          | 0.95     |
| 0.0284        | 3.0   | 525  | 0.2618          | 0.97     |
| 0.0284        | 4.0   | 700  | 0.1908          | 0.97     |
| 0.0284        | 5.0   | 875  | 0.2202          | 0.97     |
| 0.0018        | 6.0   | 1050 | 0.2315          | 0.97     |
| 0.0018        | 7.0   | 1225 | 0.2381          | 0.97     |
| 0.0018        | 8.0   | 1400 | 0.2416          | 0.97     |
| 0.0           | 9.0   | 1575 | 0.2436          | 0.97     |
| 0.0           | 10.0  | 1750 | 0.2445          | 0.97     |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1