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Numrah_nsfw_username_classifier – AI Model by C-Ilyas | AlphaNeural AI
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C-Ilyas
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Numrah_nsfw_username_classifier
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
not-for-all-audiences
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Model card
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results
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: 0.1078
Accuracy: 0.9717
F1: 0.9700
Precision: 0.9712
Recall: 0.9688
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: 128
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
Precision
Recall
0.081
1.0
2157
0.1221
0.9657
0.9636
0.9635
0.9638
0.0848
2.0
4314
0.1078
0.9717
0.9700
0.9712
0.9688
0.0427
3.0
6471
0.1094
0.9755
0.9740
0.9730
0.9751
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
