Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
NLI_distilBert_base_advTrain – AI Model by BasilD | AlphaNeural AI
You can deploy this model and start earning money today!
BasilD
/
NLI_distilBert_base_advTrain
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
NLI_distilBert_base_advTrain_v3
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8197
Accuracy: 0.6787
F1: 0.6697
Precision: 0.6818
Recall: 0.6787
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4209
1.0
3006
0.7636
0.7005
0.6923
0.7057
0.7005
0.3197
2.0
6012
0.9177
0.7031
0.6883
0.7119
0.7031
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
