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mbart50_sanlish_to_english
thunderboltc/mbart50_sanlish_to_english
mbart50_sanlish_to_english is a machine learning model from thunderboltc. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026
- SHA
- 3cad7b0b
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. -->
mbart50_sanlish_to_english
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0709
- Bleu: 9.2087
- Chrf: 21.4673
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf |
|---|---|---|---|---|---|
| 2.7341 | 1.0 | 101 | 2.5825 | 2.3707 | 15.0326 |
| 1.5367 | 2.0 | 202 | 2.5427 | 3.0316 | 16.8606 |
| 0.7792 | 3.0 | 303 | 2.7498 | 7.8472 | 21.4154 |
| 0.3581 | 4.0 | 404 | 3.0326 | 8.0444 | 21.4348 |
| 0.1964 | 5.0 | 505 | 3.3518 | 9.3819 | 21.2444 |
| 0.1269 | 6.0 | 606 | 3.2937 | 9.6564 | 21.7801 |
| 0.0756 | 7.0 | 707 | 3.6156 | 9.3955 | 21.5854 |
| 0.0641 | 8.0 | 808 | 3.5715 | 9.7613 | 24.5757 |
| 0.045 | 9.0 | 909 | 3.7883 | 9.9786 | 23.6823 |
| 0.0257 | 10.0 | 1010 | 3.8386 | 8.8550 | 21.2765 |
| 0.0113 | 11.0 | 1111 | 3.8099 | 9.3571 | 21.7522 |
| 0.0126 | 12.0 | 1212 | 3.9253 | 9.6292 | 23.0794 |
| 0.0062 | 13.0 | 1313 | 3.8215 | 8.7199 | 20.5837 |
| 0.0048 | 14.0 | 1414 | 3.9446 | 9.2593 | 21.9610 |
| 0.0068 | 15.0 | 1515 | 3.9407 | 9.0051 | 20.8048 |
| 0.0022 | 16.0 | 1616 | 4.0021 | 9.9346 | 22.0919 |
| 0.0023 | 17.0 | 1717 | 4.0145 | 9.8565 | 21.6968 |
| 0.0014 | 18.0 | 1818 | 4.0413 | 9.0774 | 21.2321 |
| 0.0017 | 19.0 | 1919 | 4.0513 | 9.0965 | 21.3074 |
| 0.0011 | 20.0 | 2020 | 4.0509 | 9.2023 | 21.4822 |
| 0.0006 | 21.0 | 2121 | 4.0572 | 9.2087 | 21.4673 |
| 0.0006 | 22.0 | 2222 | 4.0624 | 9.2087 | 21.4673 |
| 0.0005 | 23.0 | 2323 | 4.0694 | 9.2150 | 21.5036 |
| 0.0007 | 24.0 | 2424 | 4.0689 | 9.2087 | 21.4673 |
| 0.0005 | 25.0 | 2525 | 4.0709 | 9.2087 | 21.4673 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026