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README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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- name: hubert-medium-wiki
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results: []
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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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# hubert-medium-wiki
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This model was trained from scratch on
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision: float32
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### Training results
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### Framework versions
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- TensorFlow 2.10.0
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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---
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language: hu
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license: apache-2.0
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datasets:
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- wikipedia
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tags:
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- generated_from_keras_callback
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- hubert
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model-index:
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- name: hubert-medium-wiki
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results: []
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---
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# hubert-medium-wiki
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This model was trained from scratch on the Wikipedia subset of Hungarian Webcorpus 2.0 with MLM and SOP tasks.
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### Pre-Training Parameters:
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First phase:
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- Training steps: 500.000
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- Sequence length: 128
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- Batch size: 1024
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Second phase:
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- Training steps: 100.000
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- Sequence length: 512
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- Batch size: 384
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### Framework versions
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- TensorFlow 2.10.0
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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# Acknowledgement
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[![Artificial Intelligence - National Laboratory - Hungary](https://milab.tk.hu/uploads/images/milab_logo_en.png)](https://mi.nemzetilabor.hu/)
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