opus-mt-en-ar-athar

halgoz/opus-mt-en-ar-athar

opus-mt-en-ar-athar is a machine learning model from halgoz. 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.

should 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: Oct 15, 2024
Updated: Oct 16, 2024
SHA: 670ce5bc

Base models

Helsinki-NLP/opus-mt-en-ar

Model card

From the Hugging Face model README

opus-mt-en-ar-athar

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

Loss: 3.3117

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	125	3.5422
No log	2.0	250	3.4116
No log	3.0	375	3.3657
3.57	4.0	500	3.3250
3.57	5.0	625	3.3117

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1

Library: transformers
Type: marian
License: apache-2.0
Created: Oct 15, 2024
Updated: Oct 16, 2024