---
tags:
- generated_from_trainer
model-index:
- name: ancient_semitic_bert
  results: []
datasets:
- bigscience-data/roots_ar_openiti_proc
- mehdie/sefaria
language:
- ar
- he
---

<!-- 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. -->

# ancient_semitic_bert

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9118
- Perplexity: 6.77 (40 Epochs)
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 40.0

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 6.778         | 1.0   | 55319   | 6.4618          |
| 6.4271        | 2.0   | 110638  | 6.3701          |
| 6.3616        | 3.0   | 165957  | 6.3217          |
| 6.3257        | 4.0   | 221276  | 6.2966          |
| 6.3001        | 5.0   | 276595  | 6.2759          |
| 6.2834        | 6.0   | 331914  | 6.2610          |
| 6.2699        | 7.0   | 387233  | 6.2465          |
| 6.2565        | 8.0   | 442552  | 6.1939          |
| 6.2221        | 9.0   | 497871  | 6.1154          |
| 6.0721        | 10.0  | 553190  | 5.9524          |
| 5.9212        | 11.0  | 608509  | 5.7947          |
| 5.8113        | 12.0  | 663828  | 5.7161          |
| 5.7509        | 13.0  | 719147  | 5.6614          |
| 5.7053        | 14.0  | 774466  | 5.6158          |
| 5.6665        | 15.0  | 829785  | 5.5774          |
| 5.634         | 16.0  | 885104  | 5.5448          |
| 5.6055        | 17.0  | 940423  | 2.7563          |
| 3.3308        | 18.0  | 995742  | 2.5443          |
| 2.6179        | 19.0  | 1051061 | 2.4196          |
| 2.5324        | 20.0  | 1106380 | 2.3393          |
| 2.4791        | 21.0  | 1161699 | 2.2755          |
| 2.4105        | 22.0  | 1217018 | 2.2241          |
| 2.3582        | 23.0  | 1272337 | 2.1772          |
| 2.3281        | 24.0  | 1327656 | 2.1416          |
| 2.2987        | 25.0  | 1382975 | 2.1137          |
| 2.7859        | 26.0  | 1438294 | 2.0950          |
| 2.2728        | 27.0  | 1493613 | 2.0685          |
| 2.2308        | 28.0  | 1548932 | 2.0499          |
| 2.1739        | 29.0  | 1604251 | 2.0082          |
| 2.1569        | 30.0  | 1659570 | 1.9939          |
| 2.1425        | 31.0  | 1714889 | 1.9802          |
| 2.1318        | 32.0  | 1770208 | 1.9669          |
| 2.1207        | 33.0  | 1825527 | 1.9583          |
| 2.1111        | 34.0  | 1880846 | 1.9477          |
| 2.102         | 35.0  | 1936165 | 1.9409          |
| 2.0943        | 36.0  | 1991484 | 1.9313          |
| 2.0871        | 37.0  | 2046803 | 1.9236          |
| 2.0736        | 38.0  | 2102122 | 1.9191          |
| 2.0693        | 39.0  | 2157441 | 1.9147          |
| 2.0653        | 40.0  | 2212760 | 1.9118          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.17.1
- Tokenizers 0.15.2