bert-base-uncased_relevance_extractor_secondary_binary

liy140/bert-base-uncased_relevance_extractor_secondary_binary

bert-base-uncased_relevance_extractor_secondary_binary is a text classification model from liy140. 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 2, 2023
Updated: Nov 2, 2023
SHA: 221960e1

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Base models

Model card

From the Hugging Face model README

bert-base-uncased_relevance_extractor_secondary_binary

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2620
F1: 0.8404

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: 6e-05
train_batch_size: 16
eval_batch_size: 16
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	F1
No log	1.0	24	0.2620	0.8404
No log	2.0	48	0.3159	0.8522
No log	3.0	72	0.2905	0.8604

Framework versions

Transformers 4.34.0
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 2, 2023
Updated: Nov 2, 2023