Asif555355/distilbert-base-uncased-finetuned-quora-insincere

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distilbert-base-uncased-finetuned-quora-insincere

This model is a fine-tuned version of distilbert-base-uncased on quora-insincere dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0946
• —Accuracy: 0.9676
• —F1 Score: 0.7309

Model description

LABEL0 = Sincere question LABEL1 = Insincere question

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
• —trainbatchsize: 20
• —evalbatchsize: 20
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Evaluation results

'evalloss': 0.09461139887571335, 'evalaccuracy': 0.9676, 'eval_f1': 0.7308970099667774,

Framework versions

• —Transformers 4.34.1
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.6
• —Tokenizers 0.14.1