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distilroberta-spam-comments-detection – AI Model by valurank | AlphaNeural AI
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valurank
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distilroberta-spam-comments-detection
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-spam-classification
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5630
F1: 0.9992
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: 12345
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 16
num_epochs: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.5645
1.0
161
0.5647
0.9977
0.5636
2.0
322
0.5629
0.9992
0.5635
3.0
483
0.5630
0.9992
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
