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distilbert-clickbait-detector – AI Model by Kushal0532 | AlphaNeural AI
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Kushal0532
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distilbert-clickbait-detector
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilbert-clickbait-detector
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2724
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
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4203
1.0
685
0.2106
0.3273
2.0
1370
0.2290
0.1848
3.0
2055
0.2724
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
