CoolFace
Modelpublic

credentek/TenaliAI-FinTech-v1

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
3likes28downloads
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. -->

TenaliAI-FinTech-v1

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: 0.8315

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: 25

Training results

Training LossEpochStepValidation Loss
2.34361.038091.9815
1.24532.076181.1621
0.98533.0114270.9375
0.84834.0152360.9018
0.81955.0190450.8538
0.75796.0228540.8540
0.71237.0266630.8397
0.70648.0304720.8405
0.69879.0342810.8315
0.67610.0380900.8530
0.656611.0418990.8504
0.641112.0457080.8501
0.643213.0495170.8545
0.648314.0533260.8624
0.644715.0571350.8635
0.607716.0609440.8782
0.620817.0647530.8925
0.62418.0685620.8834
0.629819.0723710.9000
0.648820.0761800.8922
0.601921.0799890.9025
0.641222.0837980.8963
0.607823.0876070.9045
0.616324.0914160.8898
0.627525.0952250.9036

Framework versions

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