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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - policies-named-insured
model-index:
  - name: bert-large-uncased-whole-word-masking-finetuned-policy-named-insured
    results: []

bert-large-uncased-whole-word-masking-finetuned-policy-named-insured

This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the policies-named-insured dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0264

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: 16
  • eval_batch_size: 16
  • 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
No log 1.0 478 0.0402
0.0557 2.0 956 0.0326
0.0106 3.0 1434 0.0264

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1
  • Datasets 2.8.0
  • Tokenizers 0.13.2