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Sleoruiz/bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-test

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face

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bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-test

This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on the None dataset. It achieves the following results on the evaluation set:

—Loss: 2.7374
—F1: 0.1580
—Recall: 0.3233
—Accuracy: 0.3233
—Precision: 0.1045

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: 16
—evalbatchsize: 16
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_ratio: 0.1
—num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Accuracy	Precision
2.7132	1.0	6530	2.7463	0.1580	0.3233	0.3233	0.1045
2.7441	2.0	13060	2.7423	0.1580	0.3233	0.3233	0.1045
2.7328	3.0	19590	2.7365	0.1580	0.3233	0.3233	0.1045
2.7464	4.0	26120	2.7374	0.1580	0.3233	0.3233	0.1045
2.7178	5.0	32650	2.7374	0.1580	0.3233	0.3233	0.1045

Framework versions

—Transformers 4.28.1
—Pytorch 2.0.0+cu118
—Datasets 2.12.0
—Tokenizers 0.13.3