---
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