Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
sentence-equivalence – AI Model by saipraneeth58 | AlphaNeural AI
You can deploy this model and start earning money today!
saipraneeth58
/
sentence-equivalence
like
0
transformers
tensorboard
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
sentence-equivalence
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6089
Accuracy: 0.8652
F1: 0.9060
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
459
0.3856
0.8554
0.8974
0.5272
2.0
918
0.4208
0.8505
0.8889
0.3173
3.0
1377
0.6089
0.8652
0.9060
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
