salvadoran-news-summarization

justinian336/salvadoran-news-summarization

salvadoran-news-summarization is a machine learning model from justinian336. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

probably proofread and complete it, then remove this comment. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

253

Public

Repo size

2.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h51.5 GB · 100%

At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: Dec 17, 2022
Updated: Dec 17, 2022
SHA: 17ab469f

Model card

From the Hugging Face model README

salvadoran-news-summarization

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

Train Loss: 1.7213
Train Accuracy: 0.4517
Validation Loss: 2.1308
Validation Accuracy: 0.4258
Epoch: 2

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.4914	0.3736	2.3061	0.3997	0
2.0334	0.4175	2.1634	0.4181	1
1.7213	0.4517	2.1308	0.4258	2

Framework versions

Transformers 4.25.1
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: encoder-decoder
Created: Dec 17, 2022
Updated: Dec 17, 2022