Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finale2 – AI Model by gjyotin305 | AlphaNeural AI
You can deploy this model and start earning money today!
gjyotin305
/
finale2
like
0
transformers
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
finale2
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: 0.0161
Roc Auc: 0.9999
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Roc Auc
0.0745
1.0
959
0.0463
0.9999
0.006
2.0
1918
0.0161
0.9999
Framework versions
Transformers 4.35.0
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.14.1
