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language: en |
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datasets: |
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- squad |
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widget: |
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- text: "123?" |
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context: "456" |
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- text: "789" |
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context: "10 11 12" |
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license: apache-2.0 |
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--- |
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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: hebert-finetuned-hebrew-squad |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# hebert-finetuned-hebrew-squad |
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This model was fine-tuned heBERT model on Hebrew SQuAD dataset.H |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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Hebrew SQuAD |
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## Training and evaluation data |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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### About Us |
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Created by Matan Ben-chorin, May Flaster, Guided by Dr. Oren Mishali. |
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This is our final project as part of computer engineering B.Sc studies in the Faculty of Electrical Engineering combined with Computer Science at Technion, Israel Institute of Technology. |
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For more cooperation, please contact email: |
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Matan Ben-chorin: [email protected] |
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May Flaster: [email protected] |
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