deberta-v3-base-finetuned-mrpc – AI Model by RazyDave | AlphaNeural AI

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RazyDave/
deberta-v3-base-finetuned-mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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deberta-v3-base-finetuned-mrpc

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

Loss: 0.3297
Accuracy: 0.8922
F1: 0.9241

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	230	0.3411	0.8725	0.9081
No log	2.0	460	0.3297	0.8922	0.9241
0.3727	3.0	690	0.4133	0.8922	0.9236
0.3727	4.0	920	0.5315	0.8848	0.9174
0.1068	5.0	1150	0.5898	0.8848	0.9171

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2