| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: google/mt5-small |
| tags: |
| - base_model:adapter:google/mt5-small |
| - lora |
| - transformers |
| model-index: |
| - name: mt5-small-GEC-spanish-LORA-merged |
| results: [] |
| --- |
| |
| <!-- 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-merged |
|
|
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1016 |
| - Gleu: 0.7352 |
|
|
| ## 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: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Gleu | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 0.2301 | 1.0 | 11213 | 0.1175 | 0.7102 | |
| | 0.1762 | 2.0 | 22426 | 0.1016 | 0.7352 | |
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|
| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 5.0.0 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 4.8.5 |
| - Tokenizers 0.22.2 |
