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Hartunka/tiny_bert_km_20_v1

sourceHugging Faceupdated 1y agoView on Hugging Face
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tinybertkm20v1

This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-km-20 dataset. It achieves the following results on the evaluation set:

  • Loss: 6.7550
  • 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
6.79284.1982100006.86290.1481
6.42848.3963200006.73870.1528
6.252812.5945300006.79380.1534
6.13516.7926400006.99080.1522
6.072520.9908500007.07230.1516

Framework versions

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