This model is a fine-tuned version of distilbert-base-multilingual-cased on the ja_qu_ad dataset. It achieves the following results on the evaluation set:

Loss: 0.8854

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1814	1.0	1588	0.9811
0.8336	2.0	3176	0.8850
0.6443	3.0	4764	0.8854

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

cuongtk2002/distilbert-base-multilingual-cased-JaQuAD

distilbert-base-multilingual-cased-JaQuAD

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cuongtk2002/
distilbert-base-multilingual-cased-JaQuAD