---
base_model: avichr/heBERT
tags:
- generated_from_trainer
model-index:
- name: heBERT-finetuned-samaritan
  results: []
widget:
- text: "אלין שמהת בני ישראל דעלו למצרים עם [MASK] גבר וביתה עלו"
- text: "בראשית ברא [MASK] את השמים ואת הארץ"
- text: "ומשה הוה רעה ית עאן [MASK] חתנה כהן מדין ודעק ית עאנה אחרי מדברה ואתא לטור האלהים לחורב"
- text: "וחזה לה [MASK] יהוה בלהבת אש מבגו סניה וחזה ואה סניה יקיד באש וסניה ליתו מתאכל"
---

<!-- 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-samaritan

This model is a fine-tuned version of [avichr/heBERT](https://huggingface.co./avichr/heBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0412

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.875         | 1.0   | 118  | 4.5078          |
| 4.5415        | 2.0   | 236  | 4.4287          |
| 4.3991        | 3.0   | 354  | 4.2731          |
| 4.3072        | 4.0   | 472  | 4.2191          |
| 4.2421        | 5.0   | 590  | 4.1209          |
| 4.2013        | 6.0   | 708  | 4.0951          |
| 4.1624        | 7.0   | 826  | 4.0689          |
| 4.1062        | 8.0   | 944  | 4.0910          |
| 4.1           | 9.0   | 1062 | 4.0374          |
| 4.0738        | 10.0  | 1180 | 4.0750          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1