komrc_train – AI Model by Taekyoon | AlphaNeural AI

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komrc_train

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komrc_train

This model is a fine-tuned version of beomi/kcbert-base on the korquad dataset. It achieves the following results on the evaluation set:

Loss: 0.6544

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: 1234
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8187	0.31	2000	0.7377
0.6947	0.63	4000	0.6934
0.6352	0.94	6000	0.6544
0.3869	1.25	8000	0.7633
0.3812	1.56	10000	0.7047
0.3579	1.88	12000	0.7097
0.2053	2.19	14000	0.8511
0.2173	2.5	16000	0.8457
0.2094	2.82	18000	0.8433

Framework versions

Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.10.3