t5-base-mrpc

lightsout19/t5-base-mrpc

t5-base-mrpc is a text classification model from lightsout19. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 7, 2024
Updated: Nov 7, 2024
SHA: 2d1ffd49

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Base models

Model card

From the Hugging Face model README

t5-base-mrpc

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4484
Accuracy: 0.8064
F1: 0.8724

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: 32
eval_batch_size: 32
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	115	0.5770	0.7083	0.8232
No log	2.0	230	0.5076	0.7279	0.8295
No log	3.0	345	0.4870	0.7672	0.8523
No log	4.0	460	0.4481	0.8039	0.8706
0.5245	5.0	575	0.4484	0.8064	0.8724

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Text Classification
Library: transformers
Type: t5
License: apache-2.0
Created: Nov 7, 2024
Updated: Nov 7, 2024