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ramt-labse
mytranslatenisa/ramt-labse
ramt-labse is a machine learning model from mytranslatenisa. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- m2m_100
- Access
- Public
- Created
- Nov 24, 2025
- Updated
- May 24, 2026
- SHA
- 88c7eba2
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. -->
ramt-labse
This model is a fine-tuned version of mytranslatenisa/m2m100_en_ms_FineTuned_may on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0333
- Bleu: 90.9007
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.0448 | 0.9999 | 2630 | 0.0384 | 89.0090 |
| 0.0364 | 1.9997 | 5260 | 0.0351 | 87.0546 |
| 0.0257 | 2.9996 | 7890 | 0.0333 | 90.9007 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1
- Type
- m2m_100
- Created
- Nov 24, 2025
- Updated
- May 24, 2026