xlm-roberta-base-finetuned-misogyny-sexism – AI Model by annahaz | AlphaNeural AI

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annahaz/
xlm-roberta-base-finetuned-misogyny-sexism

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-finetuned-misogyny-sexism

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

Loss: 0.9064
Accuracy: 0.8334
F1: 0.3322
Precision: 0.2498
Recall: 0.4961
Mae: 0.1666

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
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Mae
0.3869	1.0	2395	0.2905	0.8778	0.3528	0.3164	0.3988	0.1222
0.3539	2.0	4790	0.4143	0.8278	0.3465	0.2536	0.5467	0.1722
0.3124	3.0	7185	0.3327	0.8568	0.3583	0.2864	0.4786	0.1432
0.2817	4.0	9580	0.5621	0.7329	0.3092	0.1972	0.7160	0.2671
0.2651	5.0	11975	0.4376	0.8520	0.3607	0.2821	0.5	0.1480
0.2249	6.0	14370	0.5581	0.8326	0.3312	0.2485	0.4961	0.1674
0.1958	7.0	16765	0.6728	0.8382	0.3234	0.2484	0.4630	0.1618
0.1899	8.0	19160	0.7404	0.8304	0.3316	0.2471	0.5039	0.1696
0.1619	9.0	21555	0.8309	0.8461	0.3382	0.2639	0.4708	0.1539
0.1453	10.0	23950	0.9064	0.8334	0.3322	0.2498	0.4961	0.1666

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1