Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
eBERT_sa_cv_11_fold8 – AI Model by DiederikMartens | AlphaNeural AI
You can deploy this model and start earning money today!
DiederikMartens
/
eBERT_sa_cv_11_fold8
like
0
transformers
tensorboard
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
eBERT_sa_cv_11_fold8
This model is a fine-tuned version of
google-bert/bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5174
F1: 0.5066
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: 4.47e-05
train_batch_size: 16
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
No log
1.0
226
0.5090
0.2958
No log
2.0
452
0.4768
0.4725
0.532
3.0
678
0.5174
0.5066
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
