---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distil_final
  results: []
language:
- ar
---

<!-- 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. -->

# distil_final

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co./distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5805

## 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: 0.0002
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0926        | 0.32  | 10   | 3.9348          |
| 3.9237        | 0.64  | 20   | 4.0141          |
| 3.8084        | 0.96  | 30   | 3.8194          |
| 3.6561        | 1.28  | 40   | 3.6860          |
| 3.4836        | 1.6   | 50   | 3.6023          |
| 3.5731        | 1.92  | 60   | 3.5904          |
| 3.497         | 2.24  | 70   | 3.6435          |
| 3.34          | 2.56  | 80   | 3.5359          |
| 3.2943        | 2.88  | 90   | 3.6003          |
| 3.0902        | 3.2   | 100  | 3.6634          |
| 3.1061        | 3.52  | 110  | 3.6059          |
| 3.1395        | 3.84  | 120  | 3.5805          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1