Downloads · 30 days
14
10% of all-time downloads
finetuned-arabert-mixed-random-datasets
aomar85/finetuned-arabert-mixed-random-datasets
finetuned-arabert-mixed-random-datasets is a text classification model from aomar85. 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
137
Public
Repo size
1.6 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
- Jul 16, 2022
- Updated
- Jul 16, 2022
- SHA
- 95d2e7c4
Try a prompt
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. -->
finetuned-arabert-mixed-random-datasets
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0735
- Accuracy: 0.9795
- Precision: 0.9798
- Recall: 0.9778
- F1: 0.9788
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0708 | 1.0 | 73181 | 0.0645 | 0.9773 | 0.9867 | 0.9662 | 0.9764 |
| 0.0612 | 2.0 | 146362 | 0.0763 | 0.9783 | 0.9856 | 0.9693 | 0.9774 |
| 0.0544 | 3.0 | 219543 | 0.0824 | 0.9786 | 0.9860 | 0.9695 | 0.9777 |
| 0.0483 | 4.0 | 292724 | 0.0735 | 0.9795 | 0.9798 | 0.9778 | 0.9788 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 16, 2022
- Updated
- Jul 16, 2022