Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
yelp_lemmatized – AI Model by PawanJain409 | AlphaNeural AI
You can deploy this model and start earning money today!
PawanJain409
/
yelp_lemmatized
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
yelp_lemmatized
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6238
Accuracy: 0.6085
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: 16
eval_batch_size: 16
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
Accuracy
1.1813
1.0
375
0.9221
0.5995
0.7981
2.0
750
1.0099
0.569
0.504
3.0
1125
1.0748
0.5975
0.2664
4.0
1500
1.3533
0.608
0.1311
5.0
1875
1.6238
0.6085
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
