Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
kobigbird-bert-base-finetuned-klue-v2_epoch64 – AI Model by Seongmi | AlphaNeural AI
You can deploy this model and start earning money today!
Seongmi
/
kobigbird-bert-base-finetuned-klue-v2_epoch64
like
0
transformers
pytorch
big_bird
question-answering
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
kobigbird-bert-base-finetuned-klue-v2_epoch64
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: 0.8139
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
1.5026
0.55
500
1.3754
0.9551
1.1
1000
0.9633
0.8
1.64
1500
0.8191
0.6182
2.19
2000
0.7808
0.5731
2.74
2500
0.7482
0.3699
3.29
3000
0.8175
0.3634
3.84
3500
0.8139
Framework versions
Transformers 4.23.0
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1
