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m2m100-418M-SCM – AI Model by RukDias | AlphaNeural AI
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RukDias
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m2m100-418M-SCM
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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m2m100-418M-SCM
This model is a fine-tuned version of
facebook/m2m100_418M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6477
Bleu: 35.3553
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.6583
1.0
626
0.9025
35.3553
0.9191
2.0
1252
0.7476
35.3553
0.739
3.0
1878
0.6870
35.3553
0.5631
4.0
2504
0.6570
35.3553
0.5131
5.0
3130
0.6477
35.3553
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
