MLEAFIT_es2ptT5
This model is a fine-tuned version of t5-small on the tatoeba dataset. It achieves the following results on the evaluation set:
- Loss: 1.7472
- Bleu: 11.2994
- Gen Len: 15.8838
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6856 | 1.0 | 858 | 1.9674 | 8.9672 | 15.7279 |
| 2.1422 | 2.0 | 1716 | 1.7900 | 10.7687 | 15.8897 |
| 2.0298 | 3.0 | 2574 | 1.7472 | 11.2994 | 15.8838 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Model tree for jdmartinev/MLEAFIT_es2ptT5
Base model
google-t5/t5-small