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--- |
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tags: |
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- generated_from_keras_callback |
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- grammar error correction |
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model-index: |
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- name: mt5-base-amhairc-gec-5 |
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results: [] |
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language: |
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- am |
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metrics: |
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- bleu |
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base_model: |
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- google/mt5-base |
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library_name: keras |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# mt5-base-amhairc-gec-5 |
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This model was fine tuned on Amharic GEC dataset. |
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It achieves the following results on the evaluation set: ~ (evaluating) |
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## Model description |
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End-to-end Amharic grammar error correction, based on the mT5 model. Amharic is one of the most morphologically complex languages. |
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Grammar corrections in this type of language are mostly made by applying morphology changes. |
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## Intended uses & limitations |
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Losts of limitation, high accuracy was achived but with low precision. This is intended as proof of concept. |
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## Training procedure |
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This model was finetuned for 5 epochs. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: Adem |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.1 |
