Edit model card

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: 0.5631
  • F1: 0.9991

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
0.564 1.0 142 0.5631 0.9991
0.5643 2.0 284 0.5631 0.9991
0.5632 3.0 426 0.5631 0.9991

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
841
Safetensors
Model size
82.1M params
Tensor type
F32
·

Finetuned from

Space using valurank/distilroberta-spam-comments-detection 1