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metadata
license: apache-2.0
base_model: google-bert/bert-large-uncased-whole-word-masking-finetuned-squad
tags:
  - generated_from_trainer
model-index:
  - name: bert_large_uncased-QA1
    results: []

bert_large_uncased-QA1

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

  • Loss: 0.6158

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
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 9 3.4299
No log 2.0 18 2.3637
No log 3.0 27 1.3157
No log 4.0 36 0.8384
No log 5.0 45 0.6158

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1