Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Jeolla_model – AI Model by yomilimi | AlphaNeural AI
You can deploy this model and start earning money today!
yomilimi
/
Jeolla_model
like
0
transformers
safetensors
bart
text2text-generation
generated_from_trainer
gogamza/kobart-base-v2
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Jeolla_model
This model is a fine-tuned version of
gogamza/kobart-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0117
Bleu: 88.9408
Gen Len: 14.085
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: 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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.015
1.0
15477
0.0136
88.803
14.0811
0.0111
2.0
30954
0.0122
88.8626
14.0804
0.0094
3.0
46431
0.0117
88.9408
14.085
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
