Model Trained Using AutoTrain

Problem type: Text Classification

Model trained on "Tesla" related tweets from X/Twitter to filter out spam tweets based on trolling, profanity, extreme political views, etc.

0 - Valid

1 - Spam

Validation Metrics

loss: 0.4916948974132538

f1: 0.8059701492537313

precision: 0.782608695652174

recall: 0.8307692307692308

auc: 0.8416783216783217

accuracy: 0.7833333333333333

Downloads last month: 17,593

Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Text Classification

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