---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
---

<!-- 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. -->

# results

This model is a fine-tuned version of [AfnanTS/ARBERTv2_EntityLinking](https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6434

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7546        | 0.1   | 100  | 1.0176          |
| 0.7851        | 0.21  | 200  | 0.9869          |
| 0.7382        | 0.31  | 300  | 0.9651          |
| 0.7615        | 0.41  | 400  | 0.9340          |
| 0.8167        | 0.51  | 500  | 0.8955          |
| 0.7621        | 0.62  | 600  | 0.8642          |
| 0.8508        | 0.72  | 700  | 0.8372          |
| 0.838         | 0.82  | 800  | 0.8090          |
| 0.7961        | 0.92  | 900  | 0.7915          |
| 0.749         | 1.03  | 1000 | 0.7682          |
| 0.5584        | 1.13  | 1100 | 0.7613          |
| 0.5282        | 1.23  | 1200 | 0.7449          |
| 0.5195        | 1.33  | 1300 | 0.7373          |
| 0.4969        | 1.44  | 1400 | 0.7220          |
| 0.4977        | 1.54  | 1500 | 0.7113          |
| 0.4825        | 1.64  | 1600 | 0.6992          |
| 0.4938        | 1.74  | 1700 | 0.6922          |
| 0.4672        | 1.85  | 1800 | 0.6875          |
| 0.4545        | 1.95  | 1900 | 0.6831          |
| 0.4034        | 2.05  | 2000 | 0.6712          |
| 0.3963        | 2.15  | 2100 | 0.6661          |
| 0.4115        | 2.26  | 2200 | 0.6635          |
| 0.3953        | 2.36  | 2300 | 0.6593          |
| 0.3648        | 2.46  | 2400 | 0.6561          |
| 0.3987        | 2.56  | 2500 | 0.6509          |
| 0.3677        | 2.67  | 2600 | 0.6489          |
| 0.3741        | 2.77  | 2700 | 0.6480          |
| 0.3355        | 2.87  | 2800 | 0.6445          |
| 0.3603        | 2.97  | 2900 | 0.6434          |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3