File size: 1,789 Bytes
4eb8bce 8ebe712 47ab63f 4eb8bce 4537efc 4eb8bce 2dc5317 4eb8bce 8ebe712 4eb8bce 2dc5317 4eb8bce 2dc5317 4eb8bce 2dc5317 8ebe712 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
tags:
- generated_from_trainer
model-index:
- name: bert-base-arabertv02-finetuned-sandouq
results: []
language:
- ar
fill-mask:
- example1: صندوق [MASK]
---
<!-- 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. -->
# bert-base-arabertv02-finetuned-sandouq
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an ٍSandouq financial dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9575
## Model description
This is AraBert model which fine-tuned on financial dataset for financial purpous
## 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: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3856 | 1.0 | 334 | 3.2282 |
| 3.2555 | 2.0 | 668 | 3.1496 |
| 3.1479 | 3.0 | 1002 | 3.1036 |
| 3.0899 | 4.0 | 1336 | 3.0090 |
| 3.025 | 5.0 | 1670 | 3.0105 |
| 2.9823 | 6.0 | 2004 | 3.0245 |
| 2.9893 | 7.0 | 2338 | 2.9781 |
| 2.9614 | 8.0 | 2672 | 2.9572 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3 |