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---
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
|