Downloads · 30 days
20
15% of all-time downloads
m2m100_418M-GEC-spanish-cowsl2h
Ro551/m2m100_418M-GEC-spanish-cowsl2h
m2m100_418M-GEC-spanish-cowsl2h is a machine learning model from Ro551. 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. --
All-time downloads
137
Public
Parameters
877M
3.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.5 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- c291a420
Base models
Spaces
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-GEC-spanish-cowsl2h
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: 0.0654
- Gleu: 0.6187
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: 4.3060297566589666e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.060453811040672545
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gleu |
|---|---|---|---|---|
| 1.2288 | 1.0 | 388 | 0.0659 | 0.5735 |
| 0.7238 | 2.0 | 776 | 0.0627 | 0.6020 |
| 0.3931 | 3.0 | 1164 | 0.0643 | 0.6070 |
| 0.2323 | 4.0 | 1552 | 0.0654 | 0.6187 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026