CoolFace
Modelpublic

hw2942/bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes13downloads
Model Card

<!-- 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. -->

bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1

This model is a fine-tuned version of fnlp/bart-base-chinese on the dataset of Wallstreetcn Morning News Market Overview with overnight index (000001.SH) movement labels. It achieves the following results on the evaluation set:

  • —Loss: 0.632678747177124
  • —Accuracy: 0.6551724137931034

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0750.68010.5862
No log2.01500.68710.5862
No log3.02250.67250.5517
No log4.03000.63270.6552
No log5.03750.78390.5862
No log6.04500.94810.5862
0.60417.05251.43960.5172
0.60418.06001.84050.6552
0.60419.06752.16510.5862
0.604110.07502.26110.5862

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.2
  • —Tokenizers 0.13.3