distilbert-base-uncased-distilled-dtkd-clinc – AI Model by Mor1998 | AlphaNeural AI

You can deploy this model and start earning money today!

Mor1998/
distilbert-base-uncased-distilled-dtkd-clinc

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased-distilled-dtkd-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: 0.0655
Accuracy: 0.9319

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6996	1.0	318	0.4150	0.5790
0.3134	2.0	636	0.2040	0.8381
0.1843	3.0	954	0.1330	0.8952
0.1322	4.0	1272	0.1032	0.9119
0.1053	5.0	1590	0.0858	0.9213
0.0908	6.0	1908	0.0771	0.9258
0.0813	7.0	2226	0.0710	0.9287
0.0754	8.0	2544	0.0681	0.9310
0.0717	9.0	2862	0.0660	0.9310
0.0701	10.0	3180	0.0655	0.9319

Framework versions

Transformers 4.11.3
Pytorch 1.13.1+cu116
Datasets 1.16.1
Tokenizers 0.10.3