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kobigbird-bert-base-finetuned – AI Model by 2tina | AlphaNeural AI
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2tina
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kobigbird-bert-base-finetuned
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transformers
pytorch
big_bird
question-answering
generated_from_trainer
endpoints_compatible
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kobigbird-bert-base-finetuned
This model is a fine-tuned version of
monologg/kobigbird-bert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8070
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
3.5433
0.52
500
1.7958
1.5093
1.03
1000
1.1129
1.1411
1.55
1500
1.0226
0.9785
2.07
2000
0.8868
0.8037
2.58
2500
0.8301
0.7273
3.1
3000
0.8552
0.6034
3.62
3500
0.8070
Framework versions
Transformers 4.23.0
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1
