v12p_deberta-base-finetuned-mrpc

VitaliiVrublevskyi/v12p_deberta-base-finetuned-mrpc

v12p_deberta-base-finetuned-mrpc is a text classification model from VitaliiVrublevskyi. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta
Access: Public
Created: Nov 15, 2023
Updated: Nov 16, 2023
SHA: ef61482a

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Model card

From the Hugging Face model README

v12p_deberta-base-finetuned-mrpc

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

Loss: 0.3430
Accuracy: 0.8897
F1: 0.9223

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	0.4883	0.7672	0.8490
No log	2.0	230	0.3899	0.8186	0.8806
No log	3.0	345	0.3016	0.8799	0.9130
No log	4.0	460	0.3280	0.8799	0.9114
0.403	5.0	575	0.3430	0.8897	0.9223

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: deberta
License: mit
Created: Nov 15, 2023
Updated: Nov 16, 2023