Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuned-bert-mrpc – AI Model by ywongnon | AlphaNeural AI
You can deploy this model and start earning money today!
ywongnon
/
finetuned-bert-mrpc
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuned-bert-mrpc
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4169
Accuracy: 0.8456
F1: 0.8916
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: 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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5961
1.0
230
0.4327
0.8211
0.8805
0.3717
2.0
460
0.3646
0.8456
0.8930
0.2154
3.0
690
0.4169
0.8456
0.8916
Framework versions
Transformers 4.38.1
Pytorch 2.2.1+cu118
Datasets 2.17.1
Tokenizers 0.15.2
