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neg_komrc_train – AI Model by Taekyoon | AlphaNeural AI
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neg_komrc_train
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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neg_komrc_train
This model is a fine-tuned version of
beomi/kcbert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4016
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
0.277
0.51
10000
0.4016
0.1671
1.03
20000
0.4116
0.1725
1.54
30000
0.4390
0.0868
2.06
40000
0.5147
0.0868
2.57
50000
0.5064
Framework versions
Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.10.3
