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livinNector/m-minilm-l12-h384-dra-tam-mal-ai-gen-review-classification-finetune-2

sourceHugging Facemitupdated 2y agoView on Hugging Face

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m-minilm-l12-h384-dra-tam-mal-ai-gen-review-classification-finetune-2

This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.3236
—Accuracy: 0.905
—F1: 0.9046

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: 0.0001
—trainbatchsize: 256
—evalbatchsize: 256
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6883	0.6667	4	0.6686	0.9503	0.9503
0.6493	1.3333	8	0.5799	0.9472	0.9471
0.5233	2.0	12	0.4287	0.9534	0.9534
0.3949	2.6667	16	0.3071	0.9752	0.9752
0.28	3.3333	20	0.2451	0.9783	0.9783
0.2601	4.0	24	0.2120	0.9814	0.9814
0.2205	4.6667	28	0.1972	0.9783	0.9783
0.1873	5.3333	32	0.1823	0.9814	0.9814
0.187	6.0	36	0.1799	0.9783	0.9783

Framework versions

—Transformers 4.47.1
—Pytorch 2.5.1+cu124
—Datasets 3.2.0
—Tokenizers 0.21.0