---
license: apache-2.0
base_model: dicta-il/BEREL
tags:
- generated_from_trainer
model-index:
- name: BEREL-finetuned-DSS-sectarian-classification
  results: []
---

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# BEREL-finetuned-DSS-sectarian-classification

This model is a fine-tuned version of [dicta-il/BEREL](https://huggingface.co/dicta-il/BEREL) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2263

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 39   | 0.3616          |
| No log        | 2.0   | 78   | 0.2263          |
| No log        | 3.0   | 117  | 0.3206          |
| No log        | 4.0   | 156  | 0.2727          |
| No log        | 5.0   | 195  | 0.3291          |
| No log        | 6.0   | 234  | 0.3507          |
| No log        | 7.0   | 273  | 0.3554          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1