Modelpublic

sarasarasara/parsBERT_text_emotion_classification-finetuned-BMD-20241201_105236

sourceHugging Facemitupdated 2y agoView on Hugging Face

0likes4downloads

Model Card

parsBERTtextemotionclassification-finetuned-BMD-20241201105236

This model is a fine-tuned version of Nhoseinnia/parsBERT_text_emotion_classification on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 1.4538
—Accuracy: 0.5
—F1: 0.5058

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
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—lrschedulerwarmup_ratio: 0.1
—num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.1168	1.0	4	1.1421	0.2941	0.1677
1.0814	2.0	8	1.1399	0.3235	0.2160
1.0225	3.0	12	1.1935	0.3235	0.3116
0.9318	4.0	16	1.1264	0.3824	0.3781
0.9139	5.0	20	1.1417	0.3824	0.3369
0.7	6.0	24	1.1091	0.4706	0.4543
0.6879	7.0	28	1.0725	0.4118	0.4101
0.5547	8.0	32	1.1509	0.4706	0.4732
0.4669	9.0	36	1.1405	0.5	0.5041
0.401	10.0	40	1.1481	0.4706	0.4721
0.4147	11.0	44	1.2442	0.4412	0.4480
0.3014	12.0	48	1.2822	0.4118	0.4155
0.2392	13.0	52	1.3319	0.4118	0.4155
0.2147	14.0	56	1.3837	0.4118	0.4155
0.1618	15.0	60	1.4191	0.4118	0.4155
0.1509	16.0	64	1.4041	0.5	0.5058
0.1373	17.0	68	1.4388	0.4412	0.4480
0.1212	18.0	72	1.4829	0.4412	0.4480
0.111	19.0	76	1.4692	0.5	0.5058
0.1147	20.0	80	1.4538	0.5	0.5058

Framework versions

—Transformers 4.46.3
—Pytorch 2.5.1+cu121
—Datasets 3.1.0
—Tokenizers 0.20.3