---
license: apache-2.0
base_model: IDEA-CCNL/Erlangshen-Longformer-110M
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSE50-f1-v12
  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. -->

# Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSE50-f1-v12

This model is a fine-tuned version of [IDEA-CCNL/Erlangshen-Longformer-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-Longformer-110M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7432
- F1: 0.7500

## 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   | 34   | 3.2692          | 0.6190 |
| No log        | 2.0   | 68   | 2.4694          | 0.6667 |
| No log        | 3.0   | 102  | 1.8532          | 0.6154 |
| No log        | 4.0   | 136  | 3.3446          | 0.5714 |
| No log        | 5.0   | 170  | 2.7643          | 0.6000 |
| No log        | 6.0   | 204  | 3.9920          | 0.6190 |
| No log        | 7.0   | 238  | 1.7502          | 0.6667 |
| No log        | 8.0   | 272  | 1.7338          | 0.7143 |
| No log        | 9.0   | 306  | 1.7456          | 0.7879 |
| No log        | 10.0  | 340  | 1.7432          | 0.7500 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1