en2arCkptfromgendata

Shularp/en2arCkptfromgendata

en2arCkptfromgendata is a translation model from Shularp. Use it when you need text moved from one language to another. It is set up for transformers.

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

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At a glance

Task: Translation
Library: transformers
Model type: marian
Access: Public
Created: Feb 21, 2023
Updated: Feb 21, 2023
SHA: 0c3c6cf1

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Model card

From the Hugging Face model README

en2arCkptfromgendata

This model is a fine-tuned version of Botnoi/ckpt_marian_mt_en_ar_health on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7945
Bleu: 53.6921

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:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.841	1.0	37	0.8527	49.1712
0.4988	2.0	74	0.8091	51.9279
0.3991	3.0	111	0.8032	52.7260
0.3414	4.0	148	0.7959	53.4123
0.2818	5.0	185	0.7927	54.3209
0.2784	6.0	222	0.7920	53.4743
0.2309	7.0	259	0.7914	54.3270
0.2098	8.0	296	0.7894	53.5568
0.1714	9.0	333	0.7939	53.6273
0.2173	10.0	370	0.7945	53.6921

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Translation
Library: transformers
Type: marian
Created: Feb 21, 2023
Updated: Feb 21, 2023