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deberta-base-finetuned-qqp – AI Model by Tomor0720 | AlphaNeural AI
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Tomor0720
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deberta-base-finetuned-qqp
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transformers
pytorch
tensorboard
deberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
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deberta-base-finetuned-qqp
This model is a fine-tuned version of
microsoft/deberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.2617
Accuracy: 0.9128
F1: 0.8844
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: 16
eval_batch_size: 16
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
0.2412
1.0
22741
0.2369
0.9048
0.8753
0.1742
2.0
45482
0.2617
0.9128
0.8844
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
