metadata

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

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