---
license: apache-2.0
base_model: Lowin/chinese-bigbird-wwm-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSE50-v9
  results: []
---

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# chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSE50-v9

This model is a fine-tuned version of [Lowin/chinese-bigbird-wwm-base-4096](https://huggingface.co/Lowin/chinese-bigbird-wwm-base-4096) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4472
- Accuracy: 0.7879

## 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   | 1.0269          | 0.8485   |
| No log        | 2.0   | 136  | 1.3666          | 0.8182   |
| No log        | 3.0   | 204  | 1.0301          | 0.8485   |
| No log        | 4.0   | 272  | 1.1611          | 0.8485   |
| No log        | 5.0   | 340  | 1.0784          | 0.8182   |
| No log        | 6.0   | 408  | 1.3625          | 0.7879   |
| No log        | 7.0   | 476  | 1.3928          | 0.7879   |
| 0.029         | 8.0   | 544  | 1.4454          | 0.7879   |
| 0.029         | 9.0   | 612  | 1.4441          | 0.7879   |
| 0.029         | 10.0  | 680  | 1.4472          | 0.7879   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0