text_analyzer_base_bert

antonioalvarado/text_analyzer_base_bert

text_analyzer_base_bert is a text classification model from antonioalvarado. 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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Repo size

2.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin433 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 11, 2023
Updated: Jul 11, 2023
SHA: 16f36e1c

Try a prompt

Model card

From the Hugging Face model README

text_analyzer_base_bert

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

Loss: 0.0472
Accuracy: 0.9861

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: 1
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3672	1.0	1728	0.1788	0.9469
0.1509	2.0	3456	0.1311	0.9769
0.0071	3.0	5184	0.0494	0.9861
0.0076	4.0	6912	0.0472	0.9861

Framework versions

Transformers 4.29.1
Pytorch 1.12.0+cu102
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 11, 2023
Updated: Jul 11, 2023