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metadata
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: bert-finetuned-uncased-squad_v2
    results: []

bert-finetuned-uncased-squad_v2

This model was trained from scratch on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2041

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: 128
  • eval_batch_size: 128
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
3.2307 0.2 100 1.8959
1.9581 0.39 200 1.4856
1.6358 0.59 300 1.3948
1.4964 0.78 400 1.2934
1.4169 0.98 500 1.2605
1.327 1.18 600 1.2218
1.2763 1.37 700 1.2539
1.2755 1.57 800 1.2090
1.251 1.76 900 1.2041
1.229 1.96 1000 1.2159

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1