bert-030724-dataset

kdesh0399/bert-030724-dataset

bert-030724-dataset is a text classification model from kdesh0399. 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. --

Downloads · 30 days

13% of all-time downloads

All-time downloads

Public

Parameters

110M

438 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors438 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 7, 2024
Updated: Mar 7, 2024
SHA: 2d560b25

Try a prompt

Base models

Model card

From the Hugging Face model README

bert-030724-dataset

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0347
F1: 0.9668
Roc Auc: 0.9811
Accuracy: 0.8713

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: 0.001
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
num_epochs: 35

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	31	0.2372	0.4911	0.6721	0.0175
No log	2.0	62	0.1959	0.6542	0.7889	0.1053
No log	3.0	93	0.1550	0.7549	0.8454	0.1637
No log	4.0	124	0.1180	0.8135	0.8806	0.3275
No log	5.0	155	0.0916	0.8616	0.9024	0.4386
No log	6.0	186	0.0794	0.8895	0.9347	0.5146
No log	7.0	217	0.0652	0.9091	0.9423	0.6082
No log	8.0	248	0.0577	0.9280	0.9590	0.6959
No log	9.0	279	0.0512	0.9408	0.9594	0.7485
No log	10.0	310	0.0492	0.9432	0.9636	0.7485
No log	11.0	341	0.0482	0.9394	0.9615	0.7544
No log	12.0	372	0.0452	0.9467	0.9641	0.7719
No log	13.0	403	0.0424	0.9579	0.9704	0.8246
No log	14.0	434	0.0366	0.9573	0.9735	0.8304
No log	15.0	465	0.0413	0.9543	0.9777	0.7953
No log	16.0	496	0.0384	0.9593	0.9761	0.8304
0.0787	17.0	527	0.0352	0.9622	0.9789	0.8596
0.0787	18.0	558	0.0329	0.9656	0.9778	0.8655
0.0787	19.0	589	0.0351	0.9647	0.9769	0.8655
0.0787	20.0	620	0.0362	0.9601	0.9754	0.8363
0.0787	21.0	651	0.0347	0.9668	0.9811	0.8713
0.0787	22.0	682	0.0355	0.9641	0.9799	0.8596
0.0787	23.0	713	0.0351	0.9639	0.9775	0.8596
0.0787	24.0	744	0.0381	0.9629	0.9766	0.8538
0.0787	25.0	775	0.0376	0.9639	0.9775	0.8596
0.0787	26.0	806	0.0356	0.9639	0.9783	0.8596
0.0787	27.0	837	0.0359	0.9639	0.9775	0.8596
0.0787	28.0	868	0.0354	0.9630	0.9774	0.8596
0.0787	29.0	899	0.0356	0.9630	0.9782	0.8596
0.0787	30.0	930	0.0366	0.9648	0.9785	0.8655
0.0787	31.0	961	0.0357	0.9630	0.9774	0.8596
0.0787	32.0	992	0.0370	0.9630	0.9782	0.8538
0.0043	33.0	1023	0.0363	0.9639	0.9783	0.8596
0.0043	34.0	1054	0.0362	0.9639	0.9783	0.8596
0.0043	35.0	1085	0.0362	0.9639	0.9783	0.8596

Framework versions

Transformers 4.38.2
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 7, 2024
Updated: Mar 7, 2024