---
base_model: aubmindlab/bert-large-arabertv02-twitter
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Model5_T2_Araberv2_large_WS_A100
  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. -->

# Model5_T2_Araberv2_large_WS_A100

This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0614
- F1: 0.8576
- Roc Auc: 0.9065
- Accuracy: 0.7784

## 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: 5e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 193  | 0.0799          | 0.8025 | 0.8645  | 0.7151   |
| No log        | 2.0   | 386  | 0.0655          | 0.8429 | 0.8987  | 0.7616   |
| 0.0884        | 3.0   | 579  | 0.0614          | 0.8576 | 0.9065  | 0.7784   |
| 0.0884        | 4.0   | 772  | 0.0659          | 0.8599 | 0.9275  | 0.7858   |
| 0.0884        | 5.0   | 965  | 0.0674          | 0.8495 | 0.9244  | 0.7561   |
| 0.0238        | 6.0   | 1158 | 0.0709          | 0.8480 | 0.9176  | 0.7616   |
| 0.0238        | 7.0   | 1351 | 0.0691          | 0.8557 | 0.9227  | 0.7654   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3