Downloads · 30 days
21
5% of all-time downloads
Improved-MARBERT-attempt2
Anwaarma/Improved-MARBERT-attempt2
Improved-MARBERT-attempt2 is a text classification model from Anwaarma. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
432
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin651 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023
- SHA
- 49c9b2ed
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
Improved-MARBERT-attempt2
This model is a fine-tuned version of Ammar-alhaj-ali/arabic-MARBERT-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5969
- Accuracy: 0.85
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.07 | 50 | 0.3387 | 0.87 |
| No log | 0.14 | 100 | 0.4445 | 0.85 |
| No log | 0.21 | 150 | 0.6001 | 0.79 |
| No log | 0.27 | 200 | 1.0466 | 0.78 |
| No log | 0.34 | 250 | 0.5674 | 0.81 |
| No log | 0.41 | 300 | 0.3374 | 0.85 |
| No log | 0.48 | 350 | 0.7026 | 0.76 |
| No log | 0.55 | 400 | 0.3953 | 0.84 |
| No log | 0.62 | 450 | 0.2559 | 0.88 |
| 0.3031 | 0.68 | 500 | 0.2551 | 0.91 |
| 0.3031 | 0.75 | 550 | 0.5071 | 0.83 |
| 0.3031 | 0.82 | 600 | 0.5743 | 0.81 |
| 0.3031 | 0.89 | 650 | 0.3198 | 0.92 |
| 0.3031 | 0.96 | 700 | 0.3801 | 0.87 |
| 0.3031 | 1.03 | 750 | 0.3169 | 0.91 |
| 0.3031 | 1.1 | 800 | 0.4731 | 0.87 |
| 0.3031 | 1.16 | 850 | 0.4643 | 0.91 |
| 0.3031 | 1.23 | 900 | 0.5969 | 0.85 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023