---
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-risk-opportunity-prediction-vv1
  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-risk-opportunity-prediction-vv1

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: 0.0001
- Accuracy: 1.0

## 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   | 113  | 0.0181          | 0.99     |
| No log        | 2.0   | 226  | 0.0027          | 1.0      |
| No log        | 3.0   | 339  | 0.0052          | 1.0      |
| No log        | 4.0   | 452  | 0.0002          | 1.0      |
| 0.051         | 5.0   | 565  | 0.0002          | 1.0      |
| 0.051         | 6.0   | 678  | 0.0001          | 1.0      |
| 0.051         | 7.0   | 791  | 0.0001          | 1.0      |
| 0.051         | 8.0   | 904  | 0.0001          | 1.0      |
| 0.0001        | 9.0   | 1017 | 0.0001          | 1.0      |
| 0.0001        | 10.0  | 1130 | 0.0001          | 1.0      |


### Framework versions

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