deep_model_09_clasificador-news-2

Alesteba/deep_model_09_clasificador-news-2

deep_model_09_clasificador-news-2 is a text classification model from Alesteba. 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: Apr 21, 2023
Updated: Apr 21, 2023
SHA: 90664788

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Datasets

ag_news

Model card

From the Hugging Face model README

deep_model_09_clasificador-news-2

This model is a fine-tuned version of albert-base-v2 on the ag_news dataset. It achieves the following results on the evaluation set:

Loss: 0.4530
Accuracy: 0.9033

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6332	1.0	715	0.4676	0.8812
0.5148	2.0	1430	0.4496	0.9006
0.3638	3.0	2145	0.4530	0.9033

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Apr 21, 2023
Updated: Apr 21, 2023