checkpoint-24453 / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: checkpoint-24453
    results: []

checkpoint-24453

This model is a fine-tuned version of bert-base-uncased on the None dataset.

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: 12
  • eval_batch_size: 12
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 48
  • optimizer: Adafactor
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 6000
  • num_epochs: 30

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.5.0
  • Datasets 2.4.0
  • Tokenizers 0.12.1