Downloads · 30 days
6
13% of all-time downloads
mbart-50-spa-shp
chechdop/mbart-50-spa-shp
mbart-50-spa-shp is a machine learning model from chechdop. 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. --
All-time downloads
45
Public
Parameters
611M
2.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 99%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Nov 23, 2025
- Updated
- Nov 23, 2025
- SHA
- 1f687819
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. -->
mbart-50-spa-shp
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: 0.5238
- Chrf: 44.1438
- Bleu: 11.7655
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: 4
- eval_batch_size: 4
- seed: 42
- 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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf | Bleu |
|---|---|---|---|---|---|
| 0.6263 | 1.0 | 5524 | 0.5003 | 37.1850 | 7.3508 |
| 0.391 | 2.0 | 11048 | 0.4422 | 40.3175 | 10.2132 |
| 0.3138 | 3.0 | 16572 | 0.4228 | 42.6570 | 10.8193 |
| 0.2206 | 4.0 | 22096 | 0.4260 | 43.7274 | 11.6145 |
| 0.1767 | 5.0 | 27620 | 0.4408 | 43.5213 | 11.9067 |
| 0.1522 | 6.0 | 33144 | 0.4654 | 44.6322 | 12.3956 |
| 0.1382 | 7.0 | 38668 | 0.4957 | 43.9743 | 11.7023 |
| 0.1086 | 8.0 | 44192 | 0.5238 | 44.1438 | 11.7655 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu129
- Datasets 4.2.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mbart
- Created
- Nov 23, 2025
- Updated
- Nov 23, 2025