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mt5-small-GEC-spanish-LORA-cowsl2h
Ro551/mt5-small-GEC-spanish-LORA-cowsl2h
mt5-small-GEC-spanish-LORA-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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 22, 2026
- SHA
- 8a68938b
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. -->
mt5-small-GEC-spanish-LORA-cowsl2h
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1365
- Gleu: 0.3258
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: 0.001635475313478006
- train_batch_size: 8
- eval_batch_size: 8
- 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: 0.0993688388184371
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Gleu |
|---|---|---|---|---|
| 2.8700 | 1.0 | 388 | 1.0861 | 0.0 |
| 0.4864 | 2.0 | 776 | 0.1614 | 0.2769 |
| 0.3819 | 3.0 | 1164 | 0.1458 | 0.3180 |
| 0.3567 | 4.0 | 1552 | 0.1365 | 0.3258 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Jun 12, 2026
- Updated
- Jun 22, 2026