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
results: []
t5-base-spanish-yoremnokki
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: 1.7231
- Bleu: 13.837
- Gen Len: 14.1189
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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.5123 | 0.9994 | 846 | 2.3345 | 0.2307 | 14.7029 |
| 2.4145 | 2.0 | 1693 | 2.0424 | 1.9545 | 14.144 |
| 2.1669 | 2.9994 | 2539 | 1.8778 | 9.3899 | 14.1364 |
| 2.0852 | 4.0 | 3386 | 1.7938 | 13.1303 | 14.0983 |
| 1.9892 | 4.9994 | 4232 | 1.7520 | 13.5863 | 14.1249 |
| 1.9364 | 6.0 | 5079 | 1.7295 | 13.7623 | 14.1375 |
| 1.9286 | 6.9959 | 5922 | 1.7231 | 13.837 | 14.1189 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3