Downloads · 30 days
12
8% of all-time downloads
Arabert-twitter-sentiment
Anwaarma/Arabert-twitter-sentiment
Arabert-twitter-sentiment 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
160
Public
Repo size
2.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin541 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 18, 2023
- Updated
- Nov 18, 2023
- SHA
- 10788ccd
Try a prompt
Base models
Datasets
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. -->
Testmeee
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the ajgt_twitter_ar dataset. It achieves the following results on the evaluation set:
- Loss: 0.3318
- Accuracy: 0.95
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| 0.4258 | 1.11 | 50 | 0.2875 | 0.88 |
| 0.1848 | 2.22 | 100 | 0.2274 | 0.93 |
| 0.1117 | 3.33 | 150 | 0.2743 | 0.9 |
| 0.0598 | 4.44 | 200 | 0.2292 | 0.94 |
| 0.0354 | 5.56 | 250 | 0.2714 | 0.95 |
| 0.0319 | 6.67 | 300 | 0.2870 | 0.95 |
| 0.0195 | 7.78 | 350 | 0.3029 | 0.95 |
| 0.0136 | 8.89 | 400 | 0.3097 | 0.95 |
| 0.0078 | 10.0 | 450 | 0.3197 | 0.95 |
| 0.0088 | 11.11 | 500 | 0.3227 | 0.95 |
| 0.0057 | 12.22 | 550 | 0.3263 | 0.95 |
| 0.0058 | 13.33 | 600 | 0.3283 | 0.95 |
| 0.0051 | 14.44 | 650 | 0.3318 | 0.95 |
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 18, 2023
- Updated
- Nov 18, 2023