en-to-de_coref_words_moreEpochs

EinsZwo/en-to-de_coref_words_moreEpochs

en-to-de_coref_words_moreEpochs is a machine learning model from EinsZwo. 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 cc-by-4.0.

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

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Repo size

2.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h5298 MB · 99%

At a glance

Library: transformers
License: cc-by-4.0
Model type: marian
Access: Public
Created: May 3, 2023
Updated: May 3, 2023
SHA: c97b24d9

Model card

From the Hugging Face model README

EinsZwo/en-to-de_coref_words_moreEpochs

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

Train Loss: 0.7690
Validation Loss: 1.4251
Epoch: 6

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 40649, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.2116	1.3502	0
1.0925	1.3576	1
0.9982	1.3748	2
0.9210	1.3966	3
0.8575	1.4064	4
0.8064	1.4174	5
0.7690	1.4251	6

Framework versions

Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: marian
License: cc-by-4.0
Created: May 3, 2023
Updated: May 3, 2023