Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-ehddnr-ynat – AI Model by ehddnr301 | AlphaNeural AI
You can deploy this model and start earning money today!
ehddnr301
/
bert-base-ehddnr-ynat
like
0
transformers
pytorch
bert
text-classification
generated_from_trainer
klue
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-ehddnr-ynat
This model is a fine-tuned version of
klue/bert-base
on the klue dataset. It achieves the following results on the evaluation set:
Loss: 0.3587
F1: 0.8721
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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
179
0.4398
0.8548
No log
2.0
358
0.3587
0.8721
0.3859
3.0
537
0.3639
0.8707
0.3859
4.0
716
0.3592
0.8692
0.3859
5.0
895
0.3646
0.8717
Framework versions
Transformers 4.9.1
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
