numrah_nsfw_username_classifier_distilbert-base-multilingual-cased – AI Model by C-Ilyas | AlphaNeural AI

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C-Ilyas/
numrah_nsfw_username_classifier_distilbert-base-multilingual-cased

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text-classification

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

not-for-all-audiences

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numrah_nsfw_username_classifier_distilbert-base-multilingual-cased

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

Loss: 0.1702
Accuracy: 0.9497
F1: 0.9497

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2088	1.0	1918	0.1910	0.9405	0.9404
0.1577	2.0	3836	0.1702	0.9497	0.9497
0.1317	3.0	5754	0.1942	0.9500	0.9499

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2