moore_MT

abdouaziiz/moore_MT

moore_MT is a machine learning model from abdouaziiz. 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 mit.

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

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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: m2m_100
Access: Public
Created: Dec 31, 2025
Updated: Dec 31, 2025
SHA: 611b2d7d

Base models

facebook/m2m100_418M

Model card

From the Hugging Face model README

moore_MT

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4899
Bleu: 8.0512
Gen Len: 58.6

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:

learning_rate: 3e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 12
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2500
num_epochs: 24.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.3635	14.9925	5000	2.4899	7.7564	59.1124

Framework versions

Transformers 4.46.0
Pytorch 2.7.0+cu126
Datasets 3.3.2
Tokenizers 0.20.3

Library: transformers
Type: m2m_100
License: mit
Languages: fr, wo
Created: Dec 31, 2025
Updated: Dec 31, 2025