README.md

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-whole-word-masking-finetuned-squad-train-I
    results: []

bert-large-uncased-whole-word-masking-finetuned-squad-train-I

This model is a fine-tuned version of google-bert/bert-large-uncased-whole-word-masking-finetuned-squad 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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1