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arabert_no_augmentation_organization_task3_fold0
MayBashendy/arabert_no_augmentation_organization_task3_fold0
arabert_no_augmentation_organization_task3_fold0 is a text classification model from MayBashendy. 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
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- bffce751
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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. -->
arabert_no_augmentation_organization_task3_fold0
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1570
- Qwk: 0.0530
- Mse: 1.1570
- Rmse: 1.0757
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: 8
- eval_batch_size: 8
- 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 | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.3333 | 2 | 5.0689 | -0.0476 | 5.0689 | 2.2514 |
| No log | 0.6667 | 4 | 1.7860 | -0.0722 | 1.7860 | 1.3364 |
| No log | 1.0 | 6 | 1.1691 | -0.0732 | 1.1691 | 1.0813 |
| No log | 1.3333 | 8 | 1.1079 | -0.1579 | 1.1079 | 1.0526 |
| No log | 1.6667 | 10 | 1.1020 | -0.0565 | 1.1020 | 1.0498 |
| No log | 2.0 | 12 | 1.5769 | -0.0942 | 1.5769 | 1.2558 |
| No log | 2.3333 | 14 | 1.4104 | 0.0 | 1.4104 | 1.1876 |
| No log | 2.6667 | 16 | 1.0770 | -0.0565 | 1.0770 | 1.0378 |
| No log | 3.0 | 18 | 0.9699 | -0.1159 | 0.9699 | 0.9848 |
| No log | 3.3333 | 20 | 0.9699 | -0.3200 | 0.9699 | 0.9848 |
| No log | 3.6667 | 22 | 1.0176 | 0.2080 | 1.0176 | 1.0087 |
| No log | 4.0 | 24 | 1.0147 | 0.2080 | 1.0147 | 1.0073 |
| No log | 4.3333 | 26 | 0.9831 | -0.1440 | 0.9831 | 0.9915 |
| No log | 4.6667 | 28 | 0.9729 | -0.1440 | 0.9729 | 0.9864 |
| No log | 5.0 | 30 | 0.9957 | 0.0610 | 0.9957 | 0.9979 |
| No log | 5.3333 | 32 | 1.0175 | 0.0610 | 1.0175 | 1.0087 |
| No log | 5.6667 | 34 | 1.0829 | -0.1440 | 1.0829 | 1.0406 |
| No log | 6.0 | 36 | 1.1247 | -0.1440 | 1.1247 | 1.0605 |
| No log | 6.3333 | 38 | 1.1230 | -0.1440 | 1.1230 | 1.0597 |
| No log | 6.6667 | 40 | 1.1027 | 0.0435 | 1.1027 | 1.0501 |
| No log | 7.0 | 42 | 1.1089 | 0.0435 | 1.1089 | 1.0530 |
| No log | 7.3333 | 44 | 1.1313 | 0.0435 | 1.1313 | 1.0636 |
| No log | 7.6667 | 46 | 1.1576 | -0.2384 | 1.1576 | 1.0759 |
| No log | 8.0 | 48 | 1.2109 | -0.1440 | 1.2109 | 1.1004 |
| No log | 8.3333 | 50 | 1.2319 | -0.1440 | 1.2319 | 1.1099 |
| No log | 8.6667 | 52 | 1.2094 | -0.1440 | 1.2094 | 1.0997 |
| No log | 9.0 | 54 | 1.1764 | 0.0530 | 1.1764 | 1.0846 |
| No log | 9.3333 | 56 | 1.1550 | 0.0530 | 1.1550 | 1.0747 |
| No log | 9.6667 | 58 | 1.1531 | 0.0530 | 1.1531 | 1.0738 |
| No log | 10.0 | 60 | 1.1570 | 0.0530 | 1.1570 | 1.0757 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024