distilbert-base-uncased-finetuned-Multi_classification

anuj55/distilbert-base-uncased-finetuned-Multi_classification

distilbert-base-uncased-finetuned-Multi_classification is a text classification model from anuj55. 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: Jun 6, 2023
Updated: Jun 8, 2023
SHA: 0c8eafd2

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-Multi_classification

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5588
Accuracy: 0.7266
Macro Averaged Precision: 0.6830
Micro Averaged Precision: 0.7266
Macro Averaged Recall: 0.5652
Micro Averaged Recall: 0.7266
Macro Averaged F1: 0.5513
Micro Averaged F1: 0.7266

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: 16
eval_batch_size: 16
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	Macro Averaged Precision	Micro Averaged Precision	Macro Averaged Recall	Micro Averaged Recall	Macro Averaged F1	Micro Averaged F1
0.5811	1.0	635	0.5745	0.7055	0.3527	0.7055	0.5	0.7055	0.4137	0.7055
0.5467	2.0	1270	0.5588	0.7266	0.6830	0.7266	0.5652	0.7266	0.5513	0.7266
0.4724	3.0	1905	0.6347	0.7109	0.6328	0.7109	0.5873	0.7109	0.5906	0.7109
0.2379	4.0	2540	0.9110	0.7078	0.6281	0.7078	0.5874	0.7078	0.5910	0.7078
0.1511	5.0	3175	1.2270	0.6953	0.6168	0.6953	0.5963	0.6953	0.6011	0.6953
0.1074	6.0	3810	1.6106	0.7188	0.6470	0.7188	0.5859	0.7188	0.5875	0.7188
0.0935	7.0	4445	1.8533	0.7070	0.6266	0.7070	0.5861	0.7070	0.5895	0.7070
0.037	8.0	5080	2.0315	0.6875	0.6082	0.6875	0.5923	0.6875	0.5964	0.6875
0.0294	9.0	5715	2.0726	0.7078	0.6295	0.7078	0.5928	0.7078	0.5975	0.7078
0.0238	10.0	6350	2.1236	0.7086	0.6303	0.7086	0.5918	0.7086	0.5963	0.7086

Framework versions

Transformers 4.28.1
Pytorch 2.0.1+cu117
Datasets 1.18.4
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 6, 2023
Updated: Jun 8, 2023