opus-mt-en-ml-finetuned-en-to-ml

jijo/opus-mt-en-ml-finetuned-en-to-ml

opus-mt-en-ml-finetuned-en-to-ml is a machine learning model from jijo. 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 30, 2022
Updated: Jun 6, 2022
SHA: 784710b2

Model card

From the Hugging Face model README

jijo/opus-mt-en-ml-finetuned-en-to-ml

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

Train Loss: 2.5102
Validation Loss: 2.2501
Train Bleu: 3.8750
Train Gen Len: 20.6042
Epoch: 0

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': 0.0002, '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	Validation Loss	Train Bleu	Train Gen Len	Epoch
2.5102	2.2501	3.8750	20.6042	0

Framework versions

Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: marian
License: apache-2.0
Created: May 30, 2022
Updated: Jun 6, 2022