distilbert-base-uncased-distilled-clinc

DiegoPolimeni/distilbert-base-uncased-distilled-clinc

distilbert-base-uncased-distilled-clinc is a text classification model from DiegoPolimeni. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 10, 2023
Updated: Mar 10, 2023
SHA: 646bbf51

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Datasets

clinc_oos

Model card

From the Hugging Face model README

distilbert-base-uncased-distilled-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: 0.3040
Accuracy: 0.9445

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	318	2.1904	0.7545
2.5592	2.0	636	1.1694	0.8632
2.5592	3.0	954	0.6723	0.9165
1.038	4.0	1272	0.4640	0.9316
0.4699	5.0	1590	0.3723	0.9406
0.4699	6.0	1908	0.3293	0.9445
0.2942	7.0	2226	0.3086	0.9455
0.2329	8.0	2544	0.3040	0.9445

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 10, 2023
Updated: Mar 10, 2023