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Hartunka/tiny_bert_km_10_v1

sourceHugging Faceupdated 1y agoView on Hugging Face
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tinybertkm10v1

This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-km-10 dataset. It achieves the following results on the evaluation set:

  • Loss: 6.3616
  • Accuracy: 0.1536

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: 96
  • evalbatchsize: 96
  • seed: 10
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 10000
  • num_epochs: 25

Training results

Training LossEpochStepValidation LossAccuracy
6.57444.1982100006.55990.1490
6.25868.3963200006.37920.1525
6.122212.5945300006.38270.1543
6.027616.7926400006.40460.1520
5.976820.9908500006.43690.1515

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.19.1