---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Erlangshen-Longformer-330M-finetuning-wallstreetcn-morning-news-vix-sz50-1
  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-330M-finetuning-wallstreetcn-morning-news-vix-sz50-1

This model is a fine-tuned version of [IDEA-CCNL/Erlangshen-Longformer-330M](https://huggingface.co/IDEA-CCNL/Erlangshen-Longformer-330M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6971
- Accuracy: 0.5

## 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: 5e-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   | 150  | 0.7366          | 0.5      |
| No log        | 2.0   | 300  | 0.7063          | 0.5      |
| No log        | 3.0   | 450  | 0.6971          | 0.5      |
| 0.7857        | 4.0   | 600  | 0.6971          | 0.5      |
| 0.7857        | 5.0   | 750  | 0.6971          | 0.5      |
| 0.7857        | 6.0   | 900  | 0.6971          | 0.5      |
| 0.696         | 7.0   | 1050 | 0.6971          | 0.5      |
| 0.696         | 8.0   | 1200 | 0.6971          | 0.5      |
| 0.696         | 9.0   | 1350 | 0.6971          | 0.5      |
| 0.6916        | 10.0  | 1500 | 0.6971          | 0.5      |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3