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M1-arabert-similiraty-without_unique-values
aomar85/M1-arabert-similiraty-without_unique-values
M1-arabert-similiraty-without_unique-values 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 7, 2022
- Updated
- Sep 7, 2022
- SHA
- ebbfaf04
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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. -->
M1-arabert-similiraty-without_unique-values
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1695
- Accuracy: 0.9628
- Precision: 0.9129
- Recall: 0.9437
- F1: 0.9280
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 |
|---|---|---|---|---|---|---|---|
| 0.1779 | 1.0 | 18298 | 0.1394 | 0.9550 | 0.8849 | 0.9460 | 0.9144 |
| 0.136 | 2.0 | 36596 | 0.1532 | 0.9556 | 0.9066 | 0.9200 | 0.9133 |
| 0.1196 | 3.0 | 54894 | 0.1371 | 0.9605 | 0.8893 | 0.9645 | 0.9253 |
| 0.1026 | 4.0 | 73192 | 0.1520 | 0.9607 | 0.9071 | 0.9419 | 0.9242 |
| 0.0918 | 5.0 | 91490 | 0.1662 | 0.9622 | 0.9092 | 0.9454 | 0.9270 |
| 0.0807 | 6.0 | 109788 | 0.1695 | 0.9628 | 0.9129 | 0.9437 | 0.9280 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 7, 2022
- Updated
- Sep 7, 2022