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---
language: Hebrew
datasets:
- tdklab/Hebrew_Squad_v1.1
widget:
- text: "123?"
context: "456"
- text: "789"
context: "10 11 12"
---
---
tags:
- generated_from_trainer
model-index:
- name: hebert-finetuned-hebrew-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hebert-finetuned-hebrew-squad
This model was fine-tuned heBERT model on Hebrew SQuAD dataset.H
## Model description
More information needed
## Intended uses & limitations
Hebrew SQuAD
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
### About Us
Created by Matan Ben-chorin, May Flaster, Guided by Dr. Oren Mishali.
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.
For more cooperation, please contact email:
Matan Ben-chorin: [email protected]
May Flaster: [email protected]
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