Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilbert-base-uncased-finetuned-clinc – AI Model by tsubakiky | AlphaNeural AI
You can deploy this model and start earning money today!
tsubakiky
/
distilbert-base-uncased-finetuned-clinc
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
clinc_oos
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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 the clinc_oos dataset. It achieves the following results on the evaluation set:
Loss: 0.7725
Accuracy: 0.9165
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
318
3.2763
0.7284
3.7825
2.0
636
1.8625
0.8365
3.7825
3.0
954
1.1513
0.8984
1.6859
4.0
1272
0.8540
0.9135
0.8984
5.0
1590
0.7725
0.9165
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
