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hw2942/Erlangshen-Longformer-110M-finetuning-wallstreetcn-morning-news-vix-sz50-V3

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-V3

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: 0.6427
  • —Accuracy: 0.6154

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 log1.0380.69600.5
No log2.0760.70150.5
No log3.01140.82480.5
No log4.01520.69560.5
No log5.01900.68860.5
No log6.02280.70650.5
No log7.02660.70700.5
No log8.03040.73950.5385
No log9.03420.68710.6538
No log10.03800.64270.6154

Framework versions

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