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SharonTudi/DIALOGUE_five_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face

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DIALOGUEfivemodel

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

—Loss: 0.4632
—Accuracy: 0.9342
—Precision: 0.9421
—Recall: 0.9342
—F1: 0.9313

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: 0.00012
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1351	0.31	15	0.1519	0.9737	0.9762	0.9737	0.9736
0.0519	0.62	30	0.2044	0.9737	0.9762	0.9737	0.9736
0.0728	0.94	45	0.1813	0.9737	0.9762	0.9737	0.9736
0.0017	1.25	60	0.0108	1.0	1.0	1.0	1.0
0.0492	1.56	75	0.3072	0.9342	0.9421	0.9342	0.9313
0.0881	1.88	90	0.1682	0.9737	0.9762	0.9737	0.9736
0.0018	2.19	105	0.3500	0.9342	0.9421	0.9342	0.9313
0.0008	2.5	120	0.4114	0.9342	0.9421	0.9342	0.9313
0.0011	2.81	135	0.4632	0.9342	0.9421	0.9342	0.9313

Framework versions

—Transformers 4.36.2
—Pytorch 2.1.0+cu121
—Datasets 2.16.1
—Tokenizers 0.15.0