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hangman-bert-mini

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hangman-bert-mini / README.md
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metadata
license: apache-2.0
base_model: google/bert_uncased_L-4_H-256_A-4
tags:
  - generated_from_trainer
model-index:
  - name: hangman-bert-mini
    results: []

hangman-bert-mini

This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9761

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.0237 1.0 2609 1.9874
2.008 2.0 5218 1.9792
2.013 3.0 7827 1.9761

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3