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# bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-4

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: 2.8584
- Accuracy: 0.7576

## 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   | 2.7475          | 0.6667   |
| No log        | 2.0   | 136  | 2.9665          | 0.6970   |
| No log        | 3.0   | 204  | 2.8973          | 0.6970   |
| No log        | 4.0   | 272  | 2.5368          | 0.7273   |
| No log        | 5.0   | 340  | 2.8675          | 0.6970   |
| No log        | 6.0   | 408  | 3.4032          | 0.6667   |
| No log        | 7.0   | 476  | 3.2096          | 0.6970   |
| 0.1022        | 8.0   | 544  | 3.4377          | 0.6667   |
| 0.1022        | 9.0   | 612  | 2.9087          | 0.6970   |
| 0.1022        | 10.0  | 680  | 2.8584          | 0.7576   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "fnlp/bart-base-chinese", "model-index": [{"name": "bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-4", "results": []}]}
transformers pytorch bart text-classification generated_from_trainer base_model:fnlp/bart-base-chinese autotrain_compatible endpoints_compatible region:us