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distilbert-base-uncased-finetuned-quora-insincere – AI Model by Asif555355 | AlphaNeural AI
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Asif555355
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distilbert-base-uncased-finetuned-quora-insincere
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transformers
pytorch
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
LABEL_0 = Sincere question LABEL_1 = 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
train_batch_size: 20
eval_batch_size: 20
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
0.093
1.0
62807
0.0859
0.9644
0.0695
2.0
125614
0.0946
0.9676
Evaluation results
'eval_loss': 0.09461139887571335, 'eval_accuracy': 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
