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bert-tiny-distilled

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metadata
license: apache-2.0
base_model: google/bert_uncased_L-2_H-128_A-2
tags:
  - generated_from_trainer
datasets:
  - hate_speech18
model-index:
  - name: bert-tiny-distilled
    results: []

bert-tiny-distilled

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the hate_speech18 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.4745
  • eval_accuracy: 0.8556
  • eval_runtime: 20.4101
  • eval_samples_per_second: 107.202
  • eval_steps_per_second: 0.882
  • epoch: 1.0
  • step: 479

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: 7.474176155523857e-05
  • train_batch_size: 16
  • eval_batch_size: 128
  • seed: 23
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.1
  • Datasets 2.15.0
  • Tokenizers 0.15.0