albert-base-v2-finetuned-mrpc

VitaliiVrublevskyi/albert-base-v2-finetuned-mrpc

albert-base-v2-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 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: albert
Access: Public
Created: Sep 10, 2023
Updated: Sep 24, 2023
SHA: 060da037

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Datasets

glue

Model card

From the Hugging Face model README

albert-base-v2-finetuned-mrpc

This model is a fine-tuned version of albert-base-v2 on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.5610
Accuracy: 0.8627
F1: 0.9007

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: 95
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	0.3358	0.8676	0.9004
No log	2.0	230	0.3140	0.8676	0.9029
No log	3.0	345	0.3763	0.8897	0.9201
No log	4.0	460	0.4980	0.8725	0.9085
0.2512	5.0	575	0.5610	0.8627	0.9007

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Sep 10, 2023
Updated: Sep 24, 2023