de-en-model

projjal/de-en-model

de-en-model is a machine learning model from projjal. 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. The card lists the license as apache-2.0.

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

Downloads · 30 days

13% of all-time downloads

All-time downloads

Public

Repo size

10.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h51.1 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 11, 2023
Updated: Mar 11, 2023
SHA: d43b410b

Model card

From the Hugging Face model README

projjal/de-en-model

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.3144
Train Accuracy: 0.3364
Epoch: 9

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': 0.002, '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	Epoch
1.7760	0.2387	0
1.1744	0.2738	1
0.9260	0.2887	2
0.7539	0.2996	3
0.6160	0.3094	4
0.5233	0.3157	5
0.4458	0.3233	6
0.3891	0.3300	7
0.3480	0.3327	8
0.3144	0.3364	9

Framework versions

Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.1.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 11, 2023
Updated: Mar 11, 2023