v10_bert-base-uncased-finetuned-mrpc

VitaliiVrublevskyi/v10_bert-base-uncased-finetuned-mrpc

v10_bert-base-uncased-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: bert
Access: Public
Created: Nov 10, 2023
Updated: Nov 10, 2023
SHA: 144aae83

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Datasets

glue

Model card

From the Hugging Face model README

v10_bert-base-uncased-finetuned-mrpc

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

Loss: 0.5079
Accuracy: 0.8456
F1: 0.8923

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: 79
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	0.5043	0.7574	0.8319
No log	2.0	230	0.4095	0.8456	0.8919
No log	3.0	345	0.4298	0.8407	0.8889
No log	4.0	460	0.4580	0.8529	0.8962
0.3409	5.0	575	0.5079	0.8456	0.8923

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 10, 2023
Updated: Nov 10, 2023