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Supersaiyan1729/financeLM_outputpath_Named_Entity_Recognition__25_gpt2small

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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financeLMoutputpathNamedEntityRecognition__25

This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4197

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.03
  • —num_epochs: 25

Training results

Training LossEpochStepValidation Loss
1.46261.0790.8903
0.55842.01580.8643
0.4753.02370.8847
0.41894.03160.9137
0.36385.03950.9503
0.31656.04741.0050
0.28087.05531.0548
0.2458.06321.1044
0.21399.07111.1267
0.186310.07901.1825
0.16311.08691.2317
0.144412.09481.2644
0.128513.010271.2872
0.114514.011061.3196
0.104715.011851.3310
0.096116.012641.3431
0.088817.013431.3495
0.083218.014221.3685
0.07819.015011.3946
0.074720.015801.3961
0.071621.016591.3997
0.069122.017381.4063
0.067323.018171.4143
0.065324.018961.4201
0.065225.019751.4197

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1