qa_kor_hospital_2 – AI Model by idah4 | AlphaNeural AI

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idah4/
qa_kor_hospital_2

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text2text-generation

generated_from_trainer

hyunwoongko/kobart

endpoints_compatible

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qa_kor_hospital_2

This model is a fine-tuned version of hyunwoongko/kobart on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1627

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: 0.0001
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
lr_scheduler_warmup_steps: 400
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.11	100	1.7331
No log	0.21	200	1.4674
No log	0.32	300	1.3987
No log	0.42	400	1.3671
2.0632	0.53	500	1.4153
2.0632	0.63	600	1.3083
2.0632	0.74	700	1.2721
2.0632	0.85	800	1.2572
2.0632	0.95	900	1.2314
1.3262	1.06	1000	1.2468
1.3262	1.16	1100	1.2230
1.3262	1.27	1200	1.2158
1.3262	1.37	1300	1.2019
1.3262	1.48	1400	1.2011
1.1014	1.59	1500	1.1909
1.1014	1.69	1600	1.1768
1.1014	1.8	1700	1.1648
1.1014	1.9	1800	1.1608
1.1014	2.01	1900	1.1736
1.0434	2.11	2000	1.1865
1.0434	2.22	2100	1.1853
1.0434	2.33	2200	1.1890
1.0434	2.43	2300	1.1765
1.0434	2.54	2400	1.1696
0.8701	2.64	2500	1.1720
0.8701	2.75	2600	1.1611
0.8701	2.85	2700	1.1641
0.8701	2.96	2800	1.1627

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2