metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-spanish-yoremnokki-nlpaug-augmented-data
results: []
t5-base-spanish-yoremnokki-nlpaug-augmented-data
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7798
- Bleu: 7.9993
- Gen Len: 14.7173
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.7502 | 0.9996 | 1231 | 2.2298 | 0.2939 | 14.9914 |
| 2.3463 | 2.0 | 2463 | 1.9711 | 1.8741 | 14.8172 |
| 2.1123 | 2.9996 | 3694 | 1.8500 | 5.618 | 14.7577 |
| 2.045 | 4.0 | 4926 | 1.7951 | 7.6976 | 14.7248 |
| 2.0031 | 4.9980 | 6155 | 1.7798 | 7.9993 | 14.7173 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3