DLA3-de-en-finetune

vaibhav19341/DLA3-de-en-finetune

DLA3-de-en-finetune is a machine learning model from vaibhav19341. 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: May 7, 2023
Updated: May 7, 2023
SHA: a3935127

Model card

From the Hugging Face model README

vaibhav19341/DLA3-de-en-finetune

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.7364
Validation Loss: 5.5036
Epoch: 1

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.9312	4.7621	0
2.7364	5.5036	1

Framework versions

Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: marian
License: apache-2.0
Created: May 7, 2023
Updated: May 7, 2023