rambodazimi/deberta-v3-base-finetuned-FFT-MNLI

Source: 🤗apache-2.0184M params738 MBsafetensors✓ 1 checksumupdated 812d ago

deberta-v3-base-finetuned-mnli

This model is a fine-tuned version of deberta-v3-base on the glue dataset. It achieves the following results on the evaluation set:

Matched Accuracy: 0.9057
Missmatched Accuracy: 0.9105

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
weight_decay: 0.01
num_epochs: 2

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