text_analyzer_albert-base-v2

antonioalvarado/text_analyzer_albert-base-v2

text_analyzer_albert-base-v2 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: albert
Access: Public
Created: Jul 11, 2023
Updated: Jul 11, 2023
SHA: c95f160c

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Model card

From the Hugging Face model README

text_analyzer_albert-base-v2

This model is a fine-tuned version of albert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0093
Accuracy: 0.9988

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
0.4321	1.0	3457	0.3820	0.9341
0.1756	2.0	6914	0.1220	0.9815
0.029	3.0	10371	0.0464	0.9919
0.0001	4.0	13828	0.0093	0.9988

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: albert
License: apache-2.0
Created: Jul 11, 2023
Updated: Jul 11, 2023