---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-v1
  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. -->

# bart-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-v1

This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co./fnlp/bart-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2056
- Accuracy: 0.6875

## 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   | 68   | 0.6914          | 0.5625   |
| No log        | 2.0   | 136  | 0.6649          | 0.5938   |
| No log        | 3.0   | 204  | 0.7056          | 0.5938   |
| No log        | 4.0   | 272  | 0.6510          | 0.6562   |
| No log        | 5.0   | 340  | 1.1325          | 0.6875   |
| No log        | 6.0   | 408  | 1.6671          | 0.6875   |
| No log        | 7.0   | 476  | 2.0104          | 0.6875   |
| 0.4905        | 8.0   | 544  | 1.9887          | 0.6875   |
| 0.4905        | 9.0   | 612  | 2.2172          | 0.6875   |
| 0.4905        | 10.0  | 680  | 2.2056          | 0.6875   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3