Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-clinc – AI Model by h1nadesu | AlphaNeural AI
You can deploy this model and start earning money today!
h1nadesu
/
distilbert-base-uncased-finetuned-clinc
like
0
tensorboard
safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7952
Accuracy: 0.9197
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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
318
3.3170
0.7406
3.8192
2.0
636
1.9067
0.8497
3.8192
3.0
954
1.1836
0.8945
1.7292
4.0
1272
0.8785
0.9142
0.926
5.0
1590
0.7952
0.9197
Framework versions
Transformers 4.37.2
Pytorch 2.11.0+cu128
Datasets 2.14.7
Tokenizers 0.15.2
