---
base_model: yosefw/bert-mini-hebrew
tags:
- generated_from_trainer
model-index:
- name: bert-mini-hebrew-512
  results: []
language:
- 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. -->

# bert-mini-hebrew-512

This model is a fine-tuned version of [yosefw/bert-mini-hebrew](https://huggingface.co/yosefw/bert-mini-hebrew) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9172

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 4.4373        | 0.2500 | 2827  | 3.2271          |
| 3.4195        | 0.4999 | 5654  | 3.1138          |
| 3.3455        | 0.7499 | 8481  | 3.0875          |
| 3.3139        | 0.9998 | 11308 | 3.0617          |
| 3.2911        | 1.2498 | 14135 | 3.0290          |
| 3.2705        | 1.4997 | 16962 | 3.0172          |
| 3.2552        | 1.7497 | 19789 | 3.0081          |
| 3.2445        | 1.9996 | 22616 | 2.9997          |
| 3.2304        | 2.2496 | 25443 | 2.9834          |
| 3.2199        | 2.4996 | 28270 | 2.9713          |
| 3.2144        | 2.7495 | 31097 | 2.9705          |
| 3.2039        | 2.9995 | 33924 | 2.9559          |
| 3.192         | 3.2494 | 36751 | 2.9428          |
| 3.1859        | 3.4994 | 39578 | 2.9412          |
| 3.1816        | 3.7493 | 42405 | 2.9410          |
| 3.1774        | 3.9993 | 45232 | 2.9386          |
| 3.1701        | 4.2492 | 48059 | 2.9343          |
| 3.1684        | 4.4992 | 50886 | 2.9223          |
| 3.1651        | 4.7492 | 53713 | 2.9201          |
| 3.1651        | 4.9991 | 56540 | 2.9164          |
| 3.156         | 5.2491 | 59367 | 2.9220          |
| 3.1541        | 5.4990 | 62194 | 2.9213          |
| 3.1548        | 5.7490 | 65021 | 2.9071          |
| 3.1561        | 5.9989 | 67848 | 2.9159          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1