distilbert-base-uncased-distilled-clinc

2junhyeok/distilbert-base-uncased-distilled-clinc

distilbert-base-uncased-distilled-clinc is a machine learning model from 2junhyeok. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 15, 2025
Updated: Mar 15, 2025
SHA: 62541e38

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: 0.1293
Accuracy: 0.8516

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: 256
eval_batch_size: 256
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
No log	1.0	60	0.5314	0.1506
No log	2.0	120	0.3811	0.3665
No log	3.0	180	0.2904	0.5584
0.4388	4.0	240	0.2290	0.6832
0.4388	5.0	300	0.1889	0.7477
0.4388	6.0	360	0.1633	0.7929
0.4388	7.0	420	0.1471	0.8248
0.1974	8.0	480	0.1367	0.8384
0.1974	9.0	540	0.1313	0.8442
0.1974	10.0	600	0.1293	0.8516

Framework versions

Transformers 4.16.2
Pytorch 2.5.1+cu121
Datasets 1.16.1
Tokenizers 0.21.1

Type: distilbert
License: apache-2.0
Created: Mar 15, 2025
Updated: Mar 15, 2025