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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: bert-base-uncased
model-index:
  - name: bert-base-uncased-squad
    results: []

bert-base-uncased-squad

This model is a fine-tuned version of bert-base-uncased on an unknown 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: 9e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: IPU
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 2048
  • total_eval_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.25
  • num_epochs: 3
  • training precision: Mixed Precision

Training results

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.1+cpu
  • Datasets 2.11.0
  • Tokenizers 0.13.3