bert-base-cased-sft-glue-mrpc

sauc-abadal-lloret/bert-base-cased-sft-glue-mrpc

bert-base-cased-sft-glue-mrpc is a text classification model from sauc-abadal-lloret. 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: Jul 19, 2024
Updated: Jul 19, 2024
SHA: c8abaf65

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Base models

Model card

From the Hugging Face model README

bert-base-cased-sft-glue-mrpc

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

Loss: 0.3643
Accuracy: 0.8529
F1: 0.8929

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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0	0	0.7681	0.3162	0.0
No log	1.0	29	0.5222	0.7475	0.8413
No log	2.0	58	0.3570	0.8456	0.8840
No log	3.0	87	0.3643	0.8529	0.8929

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 19, 2024
Updated: Jul 19, 2024