---
license: apache-2.0
base_model: Langboat/mengzi-bert-base-fin
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-f1-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. -->

# mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1

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: 1.0486
- F1: 0.4706

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 38   | 0.6755          | 0.0    |
| No log        | 2.0   | 76   | 0.6067          | 0.2857 |
| No log        | 3.0   | 114  | 0.6956          | 0.4211 |
| No log        | 4.0   | 152  | 0.5666          | 0.5714 |
| No log        | 5.0   | 190  | 0.6870          | 0.4444 |
| No log        | 6.0   | 228  | 0.8044          | 0.4706 |
| No log        | 7.0   | 266  | 0.9209          | 0.4706 |
| No log        | 8.0   | 304  | 0.9736          | 0.4706 |
| No log        | 9.0   | 342  | 1.0042          | 0.4706 |
| No log        | 10.0  | 380  | 1.0486          | 0.4706 |


### Framework versions

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