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Improved-Arabert-twitter-sentiment-Twitter
Anwaarma/Improved-Arabert-twitter-sentiment-Twitter
Improved-Arabert-twitter-sentiment-Twitter 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 19, 2023
- Updated
- Nov 19, 2023
- SHA
- 6c117645
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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-Arabert-twitter-sentiment-Twitter
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6342
- Accuracy: 0.89
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 |
|---|---|---|---|---|
| 0.5264 | 0.55 | 50 | 0.5252 | 0.71 |
| 0.3041 | 1.1 | 100 | 0.4085 | 0.81 |
| 0.2205 | 1.65 | 150 | 0.3303 | 0.88 |
| 0.1476 | 2.2 | 200 | 0.3889 | 0.87 |
| 0.1219 | 2.75 | 250 | 0.3775 | 0.87 |
| 0.0972 | 3.3 | 300 | 0.3929 | 0.88 |
| 0.0917 | 3.85 | 350 | 0.4727 | 0.86 |
| 0.0596 | 4.4 | 400 | 0.4406 | 0.89 |
| 0.0556 | 4.95 | 450 | 0.4949 | 0.89 |
| 0.0375 | 5.49 | 500 | 0.4935 | 0.9 |
| 0.0269 | 6.04 | 550 | 0.5976 | 0.88 |
| 0.0235 | 6.59 | 600 | 0.5543 | 0.89 |
| 0.0191 | 7.14 | 650 | 0.5941 | 0.88 |
| 0.0109 | 7.69 | 700 | 0.6562 | 0.89 |
| 0.0198 | 8.24 | 750 | 0.6342 | 0.89 |
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 19, 2023
- Updated
- Nov 19, 2023