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hw2942/Erlangshen-Longformer-110M-finetuning-wallstreetcn-morning-news-vix-sz50-3labels-v1

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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Erlangshen-Longformer-110M-finetuning-wallstreetcn-morning-news-vix-sz50-3labels-v1

This model is a fine-tuned version of IDEA-CCNL/Erlangshen-Longformer-110M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.0328
  • —Accuracy: 0.58

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
  • —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 log1.0321.04170.58
No log2.0641.08590.2
No log3.0961.08040.22
No log4.01281.04410.58
No log5.01601.02880.58
No log6.01921.06630.58
No log7.02241.04490.58
No log8.02561.01580.58
No log9.02881.03740.58
No log10.03201.03280.58

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3