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paraphrase_detector – AI Model by abdulmatinomotoso | AlphaNeural AI
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abdulmatinomotoso
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paraphrase_detector
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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paraphrase_detector
This model is a fine-tuned version of
bert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6599
Accuracy: 0.8554
F1: 0.8985
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
459
0.4968
0.8480
0.8901
0.3297
2.0
918
0.6599
0.8554
0.8985
0.1382
3.0
1377
0.6599
0.8554
0.8985
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
