CoolFace
Modelpublic

baha-from-nukus-city/DistilBERT-en-kz-full

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes2downloads
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. -->

DistilBERT-en-kz-full

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0000
  • —Accuracy: 1.0
  • —F1: 1.0

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: 64
  • —evalbatchsize: 128
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 128
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1
0.00231.016970.00220.99930.9993
0.00062.033940.00021.00001.0000
0.03.050910.00010.99990.9999
0.04.067880.00011.00001.0000
0.05.084850.00001.01.0

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0