File size: 1,819 Bytes
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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: []
---
<!-- 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-LORA-cowsl2h
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/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 |