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seungkim1313/
qa_model

Name: qa_model
Rating: 2.5 (7 reviews)

generated_from_trainer

squad_kor_v1

deepset/minilm-uncased-squad2

finetune

cc-by-4.0

endpoints_compatible

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qa_model

This model is a fine-tuned version of deepset/minilm-uncased-squad2 on the squad_kor_v1 dataset. It achieves the following results on the evaluation set:

Loss: 3.2803

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
4.4482	1.0	25	3.8476
4.1886	2.0	50	3.3495
2.8781	3.0	75	3.2032
3.5417	4.0	100	3.3601
2.1682	5.0	125	3.2218
3.1787	6.0	150	3.3264
2.814	7.0	175	3.3053
2.7755	8.0	200	3.2801
1.9859	9.0	225	3.4267
2.1119	10.0	250	3.2803

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

seungkim1313/qa_model

qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

seungkim1313/
qa_model