Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-clinc – AI Model by francos | AlphaNeural AI
You can deploy this model and start earning money today!
francos
/
distilbert-base-uncased-finetuned-clinc
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
clinc_oos
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: 0.7720
Accuracy: 0.9184
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
3.2891
0.7429
3.7868
2.0
636
1.8755
0.8374
3.7868
3.0
954
1.1570
0.8961
1.6928
4.0
1272
0.8573
0.9132
0.9056
5.0
1590
0.7720
0.9184
Framework versions
Transformers 4.11.3
Pytorch 1.12.1+cu113
Datasets 1.16.1
Tokenizers 0.10.3
