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nouman-10/fine-tune-roberta-exist-fine-grained

sourceHugging Facemitupdated 4y agoView on Hugging Face

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unsupervised-fine-tune-roberta-exist-5

This model is a fine-tuned version of nouman-10/unsupervised-exist-rb on the None dataset. It achieves the following results on the evaluation set:

—Loss: 1.7029
—Accuracy: 0.6512
—F1: 0.6512

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: 16
—evalbatchsize: 16
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	194	1.0614	0.625	0.625
No log	2.0	388	1.0071	0.6047	0.6047
1.0299	3.0	582	1.0507	0.6512	0.6512
1.0299	4.0	776	1.0833	0.6453	0.6453
1.0299	5.0	970	1.1711	0.6337	0.6337
0.5093	6.0	1164	1.3761	0.6366	0.6366
0.5093	7.0	1358	1.4950	0.6424	0.6424
0.211	8.0	1552	1.5941	0.6337	0.6337
0.211	9.0	1746	1.6544	0.6570	0.6570
0.211	10.0	1940	1.7029	0.6512	0.6512

Framework versions

—Transformers 4.26.1
—Pytorch 1.13.1+cu116
—Datasets 2.10.1
—Tokenizers 0.13.2