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arabert-gec-v2-2
s3h/arabert-gec-v2-2
arabert-gec-v2-2 is a machine learning model from s3h. 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 2, 2022
- Updated
- Jan 1, 2022
- SHA
- 1e62b3b0
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. -->
s3h/arabic-t5-small-finetuned-gec
This model is a fine-tuned version of flax-community/arabic-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0930
- Validation Loss: 0.9132
- Epoch: 0
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 573, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.0930 | 0.9132 | 0 |
Framework versions
- Transformers 4.15.0
- TensorFlow 2.7.0
- Datasets 1.17.0
- Tokenizers 0.10.3
- Library
- transformers
- Type
- t5
- Created
- Mar 2, 2022
- Updated
- Jan 1, 2022