v12_deberta-base-finetuned-mrpc – AI Model by VitaliiVrublevskyi | AlphaNeural AI

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VitaliiVrublevskyi/
v12_deberta-base-finetuned-mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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v12_deberta-base-finetuned-mrpc

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: 0.3434
Accuracy: 0.8946
F1: 0.9255

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: 1.5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 56
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	115	0.5068	0.6838	0.8122
No log	2.0	230	0.2929	0.8824	0.9161
No log	3.0	345	0.2703	0.8922	0.9228
No log	4.0	460	0.2965	0.8897	0.9206
0.3523	5.0	575	0.3434	0.8946	0.9255

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.13.3