---
license: apache-2.0
base_model: Langboat/mengzi-bert-base-fin
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-v2

This model is a fine-tuned version of [Langboat/mengzi-bert-base-fin](https://huggingface.co/Langboat/mengzi-bert-base-fin) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1978
- Accuracy: 0.6562

## 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   | 34   | 0.6805          | 0.5625   |
| No log        | 2.0   | 68   | 0.6348          | 0.5938   |
| No log        | 3.0   | 102  | 0.7097          | 0.6875   |
| No log        | 4.0   | 136  | 0.7510          | 0.6562   |
| No log        | 5.0   | 170  | 0.7749          | 0.6562   |
| No log        | 6.0   | 204  | 0.8022          | 0.6875   |
| No log        | 7.0   | 238  | 1.0138          | 0.625    |
| No log        | 8.0   | 272  | 1.1351          | 0.625    |
| No log        | 9.0   | 306  | 1.1884          | 0.6562   |
| No log        | 10.0  | 340  | 1.1978          | 0.6562   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3