distilbert-base-uncased-distilled-clinc1

thom126f/distilbert-base-uncased-distilled-clinc1

distilbert-base-uncased-distilled-clinc1 is a text classification model from thom126f. 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: Oct 3, 2024
Updated: Oct 3, 2024
SHA: ee3fe3c4

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-distilled-clinc1

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: 0.1812
Accuracy: 0.9481

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: 8.660546177438939e-05
train_batch_size: 192
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6899659744978047e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	80	1.6569	0.8194
No log	2.0	160	0.5149	0.9213
No log	3.0	240	0.2568	0.9390
1.0457	4.0	320	0.2040	0.9455
1.0457	5.0	400	0.1861	0.9452
1.0457	6.0	480	0.1812	0.9481

Framework versions

Transformers 4.44.2
Pytorch 2.2.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 3, 2024
Updated: Oct 3, 2024