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m2m100-418M-SCM
RukDias/m2m100-418M-SCM
m2m100-418M-SCM is a machine learning model from RukDias. 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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At a glance
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- Jan 19, 2026
- Updated
- Jan 19, 2026
- SHA
- aa748539
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- Jan 19, 2026
- Updated
- Jan 19, 2026