Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
IndoBERTL2-Rating-Prediction – AI Model by dafqi | AlphaNeural AI
You can deploy this model and start earning money today!
dafqi
/
IndoBERTL2-Rating-Prediction
like
0
transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
indobenchmark/indobert-large-p2
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
IndoBERTL2-Rating-Prediction
This model is a fine-tuned version of
indobenchmark/indobert-large-p2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7214
F1: 0.3668
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.15
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.1107
1.0
91
0.9732
0.2897
0.9599
2.0
182
0.7898
0.3321
0.466
3.0
273
0.7227
0.3712
0.4197
4.0
364
0.7252
0.3689
0.2964
5.0
455
0.7214
0.3668
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
