grader_classifier

vulong3896/grader_classifier

grader_classifier is a text classification model from vulong3896. 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: Jul 12, 2025
Updated: Jul 21, 2025
SHA: e726b522

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Base models

distilbert/distilbert-base-multilingual-cased

Model card

From the Hugging Face model README

grader_classifier

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

Loss: 0.0109
Accuracy: 0.9980

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2227	1.0	1104	0.1233	0.9644
0.0966	2.0	2208	0.0647	0.9825
0.0609	3.0	3312	0.0496	0.9910
0.0378	4.0	4416	0.0548	0.9905
0.0309	5.0	5520	0.0420	0.9915
0.023	6.0	6624	0.0621	0.9895
0.0314	7.0	7728	0.0583	0.9910
0.0219	8.0	8832	0.0577	0.9895
0.0131	9.0	9936	0.0810	0.9865
0.0074	10.0	11040	0.0200	0.9965
0.0118	11.0	12144	0.0158	0.9970
0.0125	12.0	13248	0.0288	0.9955
0.01	13.0	14352	0.0319	0.9955
0.0089	14.0	15456	0.0179	0.9965
0.009	15.0	16560	0.0144	0.9980
0.0083	16.0	17664	0.0188	0.9965
0.0054	17.0	18768	0.0270	0.9950
0.0067	18.0	19872	0.0257	0.9955
0.0052	19.0	20976	0.0154	0.9975
0.0034	20.0	22080	0.0208	0.9975
0.0042	21.0	23184	0.0194	0.9970
0.0043	22.0	24288	0.0177	0.9970
0.002	23.0	25392	0.0293	0.9965
0.0105	24.0	26496	0.0272	0.9965
0.0017	25.0	27600	0.0254	0.9965
0.0067	26.0	28704	0.0163	0.9975
0.0054	27.0	29808	0.0100	0.9980
0.0012	28.0	30912	0.0160	0.9970
0.0016	29.0	32016	0.0104	0.9985
0.0009	30.0	33120	0.0107	0.9985
0.0005	31.0	34224	0.0110	0.9980
0.0006	32.0	35328	0.0135	0.9975
0.0007	33.0	36432	0.0122	0.9975
0.0001	34.0	37536	0.0131	0.9985
0.0005	35.0	38640	0.0053	0.9985
0.0002	36.0	39744	0.0116	0.9980
0.0	37.0	40848	0.0110	0.9985
0.0002	38.0	41952	0.0105	0.9980
0.0003	39.0	43056	0.0107	0.9980
0.0002	40.0	44160	0.0109	0.9980

Framework versions

Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 12, 2025
Updated: Jul 21, 2025