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koelectra-68397641 – AI Model by KJIM | AlphaNeural AI
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KJIM
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koelectra-68397641
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
custom_squad_v2
endpoints_compatible
us
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Model card
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koelectra-68397641
This model is a fine-tuned version of
klue/roberta-large
on the custom_squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.3509
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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 30
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.99
21
1.8294
No log
1.99
42
1.3509
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
