favs_sort_classification_v2

nguyenkhoa2407/favs_sort_classification_v2

favs_sort_classification_v2 is a text classification model from nguyenkhoa2407. 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: bert
Access: Public
Created: Nov 11, 2022
Updated: Nov 21, 2022
SHA: 641c9e54

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Datasets

sort_v2

Model card

From the Hugging Face model README

favs_sort_classification_v2

This model is a fine-tuned version of bert-base-cased on the sort_v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.1553
F1: 0.9801
Roc Auc: 0.9805
Accuracy: 0.8966

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: 1.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5589	1.0	21	0.5325	0.4815	0.6585	0.0345
0.4621	2.0	42	0.4465	0.5225	0.6780	0.0
0.4144	3.0	63	0.4131	0.5950	0.7172	0.0345
0.3669	4.0	84	0.3793	0.6167	0.7279	0.0345
0.3524	5.0	105	0.3455	0.6880	0.7689	0.0690
0.2987	6.0	126	0.3086	0.8116	0.8533	0.4138
0.2734	7.0	147	0.2767	0.8392	0.8772	0.5172
0.2532	8.0	168	0.2483	0.8472	0.8837	0.5172
0.2166	9.0	189	0.2285	0.8707	0.9032	0.5862
0.19	10.0	210	0.2012	0.9459	0.9525	0.7586
0.1833	11.0	231	0.1856	0.9530	0.9590	0.7931
0.1751	12.0	252	0.1748	0.9595	0.9610	0.7931
0.173	13.0	273	0.1633	0.9467	0.9569	0.7931
0.16	14.0	294	0.1553	0.9801	0.9805	0.8966
0.1396	15.0	315	0.1503	0.9733	0.9740	0.8621
0.1467	16.0	336	0.1417	0.9737	0.9785	0.8621
0.1271	17.0	357	0.1380	0.9669	0.9720	0.8621
0.1228	18.0	378	0.1346	0.9669	0.9720	0.8621
0.1257	19.0	399	0.1308	0.9801	0.9805	0.8966
0.1156	20.0	420	0.1280	0.9801	0.9805	0.8966
0.1242	21.0	441	0.1250	0.9801	0.9805	0.8966
0.1146	22.0	462	0.1236	0.9801	0.9805	0.8966
0.1262	23.0	483	0.1228	0.9801	0.9805	0.8966
0.1268	24.0	504	0.1227	0.9801	0.9805	0.8966
0.1133	25.0	525	0.1224	0.9801	0.9805	0.8966

Framework versions

Transformers 4.21.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 11, 2022
Updated: Nov 21, 2022