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m2m100-en-ky
alinatl/m2m100-en-ky
m2m100-en-ky is a machine learning model from alinatl. 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
- Sep 4, 2025
- Updated
- Sep 4, 2025
- SHA
- ccc53069
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-en-ky
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: 2.8407
- Chrf++: 42.4848
- Bleu: 0.1748
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 10
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf++ | Bleu |
|---|---|---|---|---|---|
| 4.4526 | 0.4645 | 180 | 4.0685 | 24.8955 | 0.0506 |
| 2.9422 | 0.9290 | 360 | 3.5187 | 30.7245 | 0.0900 |
| 2.1773 | 1.3923 | 540 | 3.2526 | 34.0997 | 0.1075 |
| 1.8924 | 1.8568 | 720 | 3.0695 | 36.0231 | 0.1271 |
| 1.5529 | 2.32 | 900 | 2.9945 | 38.0174 | 0.1384 |
| 1.33 | 2.7845 | 1080 | 2.9262 | 38.7927 | 0.1455 |
| 1.1336 | 3.2477 | 1260 | 2.8781 | 40.0639 | 0.1540 |
| 0.9801 | 3.7123 | 1440 | 2.8405 | 41.0637 | 0.1639 |
| 0.8629 | 4.1755 | 1620 | 2.8334 | 41.4410 | 0.1667 |
| 0.7352 | 4.64 | 1800 | 2.8410 | 41.6745 | 0.1700 |
| 0.6713 | 5.1032 | 1980 | 2.8273 | 42.1474 | 0.1717 |
| 0.5607 | 5.5677 | 2160 | 2.8407 | 42.4848 | 0.1748 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- Sep 4, 2025
- Updated
- Sep 4, 2025