Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
germanic_peoplecentric_eng_bert – AI Model by AnonymousCS | AlphaNeural AI
You can deploy this model and start earning money today!
AnonymousCS
/
germanic_peoplecentric_eng_bert
like
0
transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-large-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
germanic_peoplecentric_eng_bert
This model is a fine-tuned version of
google-bert/bert-large-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5801
Accuracy: 0.7368
F1: 0.7765
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
76
0.6284
0.6316
0.7021
0.6378
2.0
152
0.5622
0.7204
0.7592
0.4262
3.0
228
0.5801
0.7368
0.7765
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
