detect-femicide-news-xlmr – AI Model by gossminn | AlphaNeural AI

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gossminn/
detect-femicide-news-xlmr

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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detect-femicide-news-xlmr

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0161
Accuracy: 0.9973
Precision Neg: 0.9975
Precision Pos: 0.9967
Recall Neg: 0.9988
Recall Pos: 0.9933
F1 Score Neg: 0.9981
F1 Score Pos: 0.9950

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: 1e-05
train_batch_size: 128
eval_batch_size: 8
seed: 1996
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Neg	Precision Pos	Recall Neg	Recall Pos	F1 Score Neg	F1 Score Pos
0.2758	1.0	204	0.1001	0.9718	0.9741	0.9654	0.9875	0.93	0.9808	0.9474
0.0782	2.0	408	0.0505	0.9809	0.9839	0.9729	0.99	0.9567	0.9869	0.9647
0.0501	3.0	612	0.0272	0.9927	0.9962	0.9834	0.9938	0.99	0.9950	0.9867
0.0389	4.0	816	0.0201	0.9945	0.9938	0.9966	0.9988	0.9833	0.9963	0.9899
0.031	5.0	1020	0.0175	0.9964	0.9963	0.9966	0.9988	0.99	0.9975	0.9933
0.0235	6.0	1224	0.0161	0.9973	0.9975	0.9967	0.9988	0.9933	0.9981	0.9950

Framework versions

Transformers 4.16.2
Pytorch 1.10.2+cu113
Datasets 1.18.3
Tokenizers 0.11.0