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# hebrewLM-alephbertgimmel-base

This model is a fine-tuned version of [dicta-il/alephbertgimmel-base](https://huggingface.co/dicta-il/alephbertgimmel-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2339

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3874        | 1.0   | 619  | 5.3808          |
| 5.4643        | 2.0   | 1238 | 5.2607          |
| 5.2998        | 3.0   | 1857 | 5.2339          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

{"license": "cc0-1.0", "tags": ["generated_from_trainer"], "base_model": "dicta-il/alephbertgimmel-base", "model-index": [{"name": "hebrewLM-alephbertgimmel-base", "results": []}]}
transformers pytorch bert text-generation generated_from_trainer base_model:dicta-il/alephbertgimmel-base license:cc0-1.0 autotrain_compatible endpoints_compatible region:us