---
license: apache-2.0
base_model: hfl/chinese-macbert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chinese-macbert-base-climate-transition-physical-risk-prediction-1
  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-macbert-base-climate-transition-physical-risk-prediction-1

This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2265
- 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   | 57   | 0.4082          | 0.9      |
| No log        | 2.0   | 114  | 0.2136          | 0.96     |
| No log        | 3.0   | 171  | 0.1489          | 0.96     |
| No log        | 4.0   | 228  | 0.2502          | 0.96     |
| No log        | 5.0   | 285  | 0.2322          | 0.96     |
| No log        | 6.0   | 342  | 0.2159          | 0.96     |
| No log        | 7.0   | 399  | 0.2187          | 0.96     |
| No log        | 8.0   | 456  | 0.2243          | 0.96     |
| 0.0464        | 9.0   | 513  | 0.2266          | 0.96     |
| 0.0464        | 10.0  | 570  | 0.2265          | 0.96     |


### Framework versions

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