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pt-en-model
projjal/pt-en-model
pt-en-model is a machine learning model from projjal. 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.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 13, 2023
- Updated
- Mar 13, 2023
- SHA
- c16850ea
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
projjal/pt-en-model
This model is a fine-tuned version of unicamp-dl/translation-pt-en-t5 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3467
- Train Accuracy: 0.3863
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.002, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Epoch |
|---|---|---|
| 1.1711 | 0.3234 | 0 |
| 0.8661 | 0.3438 | 1 |
| 0.7208 | 0.3551 | 2 |
| 0.6265 | 0.3614 | 3 |
| 0.5549 | 0.3678 | 4 |
| 0.4997 | 0.3727 | 5 |
| 0.4505 | 0.3763 | 6 |
| 0.4079 | 0.3807 | 7 |
| 0.3750 | 0.3825 | 8 |
| 0.3467 | 0.3863 | 9 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Mar 13, 2023
- Updated
- Mar 13, 2023