Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-cased-textCLS-RHEOLOGY – AI Model by jonas-luehrs | AlphaNeural AI
You can deploy this model and start earning money today!
jonas-luehrs
/
bert-base-cased-textCLS-RHEOLOGY
like
0
transformers
pytorch
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
bert-base-cased-textCLS-RHEOLOGY
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: 0.7978
F1: 0.6692
Precision: 0.6343
Recall: 0.7099
Accuracy: 0.7099
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Precision
Recall
Accuracy
1.365
1.0
46
1.1002
0.6205
0.5925
0.6543
0.6543
0.9613
2.0
92
0.8974
0.6263
0.6046
0.6605
0.6605
0.7465
3.0
138
0.7978
0.6692
0.6343
0.7099
0.7099
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
