DistriBert_TPF_v9

JhonMR/DistriBert_TPF_v9

DistriBert_TPF_v9 is a text classification model from JhonMR. 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 28, 2024
Updated: Oct 28, 2024
SHA: ba4dfc75

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Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

DistriBert_TPF_v9

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

Accuracy@en: 0.8349
F1@en: 0.8353
Precision@en: 0.8406
Recall@en: 0.8358
Loss@en: 0.5675
Loss: 0.5675

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 30

Training results

Training Loss	Epoch	Step	Accuracy@en	F1@en	Precision@en	Recall@en	Loss@en	Validation Loss
3.3814	1.0	276	0.1672	0.1000	0.1207	0.1699	2.9259	2.9259
2.705	2.0	552	0.2122	0.1458	0.1464	0.2121	2.4904	2.4904
2.4079	3.0	828	0.2664	0.2101	0.2919	0.2674	2.2948	2.2948
2.1179	4.0	1104	0.3952	0.3393	0.3872	0.3941	1.9555	1.9555
1.7552	5.0	1380	0.4966	0.4568	0.4748	0.4960	1.5776	1.5776
1.4478	6.0	1656	0.5635	0.5259	0.5638	0.5640	1.3563	1.3563
1.2016	7.0	1932	0.6286	0.5985	0.6485	0.6334	1.1235	1.1235
1.0053	8.0	2208	0.6971	0.6751	0.7205	0.6954	0.9861	0.9861
0.8457	9.0	2484	0.7537	0.7466	0.7582	0.7534	0.8329	0.8329
0.7163	10.0	2760	0.7831	0.7780	0.7957	0.7832	0.7397	0.7397
0.6167	11.0	3036	0.7992	0.7962	0.8098	0.7995	0.6955	0.6955
0.5421	12.0	3312	0.7995	0.7923	0.8148	0.7996	0.6953	0.6953
0.4798	13.0	3588	0.8212	0.8209	0.8311	0.8218	0.6242	0.6242
0.4415	14.0	3864	0.8278	0.8273	0.8370	0.8284	0.6013	0.6013
0.3899	15.0	4140	0.8325	0.8331	0.8439	0.8329	0.5969	0.5969
0.3671	16.0	4416	0.8349	0.8353	0.8406	0.8358	0.5675	0.5675
0.3278	17.0	4692	0.8392	0.8399	0.8459	0.8401	0.5784	0.5784
0.3041	18.0	4968	0.8392	0.8390	0.8451	0.8399	0.5765	0.5765

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 28, 2024
Updated: Oct 28, 2024