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---
base_model: avichr/heBERT
tags:
- generated_from_trainer
datasets:
- imvladikon/parashoot
model-index:
- name: hebert_parashoot
results: []
language:
- he
metrics:
- f1
- exact_match
pipeline_tag: question-answering
---
<!-- 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_parashoot
This model is a fine-tuned version of [avichr/heBERT](https://huggingface.co/avichr/heBERT) on the [imvladikon/parashoot](https://huggingface.co/datasets/imvladikon/parashoot) dataset.
## 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:
- learning_rate: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
results:
```
{
"epoch": 5.0,
"eval_exact_match": 18.099547511312217,
"eval_f1": 36.8601893452485,
"eval_runtime": 6.7527,
"eval_samples": 249,
"eval_samples_per_second": 36.874,
"eval_steps_per_second": 4.739
}
```
(which reflects with results from the https://arxiv.org/pdf/2109.11314.pdf : F1: 36.7, EM: 18.2)
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3 |