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moore_MT – AI Model by abdouaziiz | AlphaNeural AI
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abdouaziiz
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moore_MT
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
fr
wo
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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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
