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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: EkattorBert-multilingual-finetuned-squad_v2
    results: []
language:
  - bn
  - en

EkattorBert-multilingual-finetuned-squad_v2

This model is a fine-tuned version of bert-base-multilingual-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9630

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: 1

Training results

Training Loss Epoch Step Validation Loss
1.0202 1.0 8258 0.9630

Framework versions

  • Transformers 4.27.3
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2