t5-small-spanish-yoremnokki
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8387
- Bleu: 0.0357
- Gen Len: 11.8931
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 0.9989 | 463 | 3.1886 | 0.0016 | 11.7323 |
| 3.8008 | 2.0 | 927 | 2.9507 | 0.0162 | 11.6761 |
| 3.2701 | 2.9989 | 1390 | 2.8636 | 0.0301 | 11.8016 |
| 3.125 | 3.9957 | 1852 | 2.8387 | 0.0357 | 11.8931 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
google-t5/t5-small