metadata
library_name: peft
license: mit
base_model: facebook/m2m100_418M
tags:
- base_model:adapter:facebook/m2m100_418M
- lora
- transformers
model-index:
- name: m2m100_418M-GEC-spanish-LORA-cowsl2h
results: []
m2m100_418M-GEC-spanish-LORA-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: 6.0424
- Gleu: 0.6151
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.08950396527674138
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gleu |
|---|---|---|---|---|
| 14.5713 | 1.0 | 194 | 6.0505 | 0.5815 |
| 12.1501 | 2.0 | 388 | 6.0441 | 0.6024 |
| 12.1355 | 3.0 | 582 | 6.0436 | 0.6056 |
| 12.1091 | 4.0 | 776 | 6.0424 | 0.6151 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2