Models GEC spanish
Collection
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m2m100_418M-GEC-spanish-LORA-synthetic
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: 3.9074
- Gleu: 0.9276
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: 0.00044107500561578277
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.08950396527674138
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gleu |
|---|---|---|---|---|
| 3.9485 | 1.0 | 6896 | 3.9114 | 0.9166 |
| 3.9632 | 2.0 | 13792 | 3.9074 | 0.9276 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2
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Model tree for Ro551/m2m100_418M-GEC-spanish-LORA-synthetic
Base model
facebook/m2m100_418M
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_418M") model = PeftModel.from_pretrained(base_model, "Ro551/m2m100_418M-GEC-spanish-LORA-synthetic")