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distilbert-base-uncased-spam-test – AI Model by sidkk86 | AlphaNeural AI
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sidkk86
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distilbert-base-uncased-spam-test
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-spam-test
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0238
Accuracy: 0.9933
F1: 0.9933
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1739
1.0
260
0.0391
0.9894
0.9894
0.0181
2.0
520
0.0238
0.9933
0.9933
Framework versions
Transformers 4.18.0
Pytorch 1.10.1+cu102
Datasets 2.4.0
Tokenizers 0.12.1
