es_neutral
This model is a fine-tuned version of hackathon-pln-es/es_text_neutralizer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0665
- Bleu: 87.5423
- Gen Len: 18.5417
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 440 | 0.0719 | 87.4629 | 18.5417 |
| 0.0256 | 2.0 | 880 | 0.0665 | 87.5423 | 18.5417 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for vapogore/es_neutral
Base model
somosnlp-hackathon-2022/es_text_neutralizer