---
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-v6
  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-v6

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: 0.5271
- Accuracy: 0.96

## 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  | 0.2853          | 0.98     |
| No log        | 2.0   | 350  | 0.2931          | 0.97     |
| 0.0085        | 3.0   | 525  | 0.3041          | 0.97     |
| 0.0085        | 4.0   | 700  | 0.3125          | 0.97     |
| 0.0085        | 5.0   | 875  | 0.3179          | 0.97     |
| 0.0           | 6.0   | 1050 | 0.3215          | 0.97     |
| 0.0           | 7.0   | 1225 | 0.6257          | 0.95     |
| 0.0           | 8.0   | 1400 | 0.6580          | 0.95     |
| 0.0           | 9.0   | 1575 | 0.6294          | 0.95     |
| 0.0           | 10.0  | 1750 | 0.5271          | 0.96     |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1