CoolFace
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credentek/TenaliAI-FinTech-v2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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TenaliAI-FinTech-v2

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0042

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.0143.8371
No log2.0283.0541
No log3.0421.6426
No log4.0560.7499
No log5.0700.2611
No log6.0840.0687
No log7.0980.0198
No log8.01120.0085
No log9.01260.0055
No log10.01400.0042

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1