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t5-small-finetuned-es-to-pt
oskrmiguel/t5-small-finetuned-es-to-pt
t5-small-finetuned-es-to-pt is a machine learning model from oskrmiguel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 8, 2022
- Updated
- Mar 8, 2022
- SHA
- a5fdfeb6
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-small-finetuned-es-to-pt
This model is a fine-tuned version of t5-small on the tatoeba dataset. It achieves the following results on the evaluation set:
- Loss: 1.5557
- Bleu: 15.0473
- Gen Len: 15.8693
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.2027 | 1.0 | 1907 | 1.7884 | 11.6192 | 15.8829 |
| 1.9296 | 2.0 | 3814 | 1.6034 | 14.201 | 15.8935 |
| 1.8364 | 3.0 | 5721 | 1.5557 | 15.0473 | 15.8693 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 8, 2022
- Updated
- Mar 8, 2022