distilbert-base-uncased_cls_subj

ghatgetanuj/distilbert-base-uncased_cls_subj

distilbert-base-uncased_cls_subj is a text classification model from ghatgetanuj. 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: Dec 12, 2022
Updated: Dec 12, 2022
SHA: 8cbf193f

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Model card

From the Hugging Face model README

distilbert-base-uncased_cls_subj

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: 0.2002
Accuracy: 0.965

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: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2771	1.0	500	0.1508	0.957
0.1284	2.0	1000	0.1629	0.9525
0.0434	3.0	1500	0.1686	0.9645
0.0106	4.0	2000	0.1978	0.9645
0.0027	5.0	2500	0.2002	0.965

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 12, 2022
Updated: Dec 12, 2022