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ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task2_organization_fold1
MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task2_organization_fold1
ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task2_organization_fold1 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
- Nov 26, 2024
- Updated
- Nov 26, 2024
- SHA
- 5847b5ac
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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. -->
ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task2_organization_fold1
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: 1.2144
- Qwk: 0.1467
- Mse: 1.2144
- Rmse: 1.1020
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 | 0.4 | 2 | 3.7271 | -0.0605 | 3.7271 | 1.9306 |
| No log | 0.8 | 4 | 1.5854 | 0.1468 | 1.5854 | 1.2591 |
| No log | 1.2 | 6 | 0.7302 | 0.1002 | 0.7302 | 0.8545 |
| No log | 1.6 | 8 | 0.6196 | 0.3564 | 0.6196 | 0.7872 |
| No log | 2.0 | 10 | 0.8956 | -0.2529 | 0.8956 | 0.9463 |
| No log | 2.4 | 12 | 1.0018 | -0.0601 | 1.0018 | 1.0009 |
| No log | 2.8 | 14 | 0.8659 | -0.1060 | 0.8659 | 0.9305 |
| No log | 3.2 | 16 | 0.8088 | -0.0357 | 0.8088 | 0.8993 |
| No log | 3.6 | 18 | 0.7840 | -0.0038 | 0.7840 | 0.8855 |
| No log | 4.0 | 20 | 0.7839 | 0.0025 | 0.7839 | 0.8854 |
| No log | 4.4 | 22 | 0.8070 | -0.0650 | 0.8070 | 0.8983 |
| No log | 4.8 | 24 | 0.8483 | -0.0264 | 0.8483 | 0.9210 |
| No log | 5.2 | 26 | 0.8709 | -0.0264 | 0.8709 | 0.9332 |
| No log | 5.6 | 28 | 0.8727 | -0.0650 | 0.8727 | 0.9342 |
| No log | 6.0 | 30 | 0.8935 | -0.0533 | 0.8935 | 0.9452 |
| No log | 6.4 | 32 | 0.9479 | -0.0108 | 0.9479 | 0.9736 |
| No log | 6.8 | 34 | 1.0149 | -0.0264 | 1.0149 | 1.0074 |
| No log | 7.2 | 36 | 1.0203 | -0.0264 | 1.0203 | 1.0101 |
| No log | 7.6 | 38 | 1.0270 | 0.0582 | 1.0270 | 1.0134 |
| No log | 8.0 | 40 | 1.0451 | 0.1273 | 1.0451 | 1.0223 |
| No log | 8.4 | 42 | 1.0897 | 0.0985 | 1.0897 | 1.0439 |
| No log | 8.8 | 44 | 1.1484 | 0.1253 | 1.1484 | 1.0717 |
| No log | 9.2 | 46 | 1.1819 | 0.1467 | 1.1819 | 1.0871 |
| No log | 9.6 | 48 | 1.2013 | 0.1467 | 1.2013 | 1.0960 |
| No log | 10.0 | 50 | 1.2144 | 0.1467 | 1.2144 | 1.1020 |
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
- Nov 26, 2024
- Updated
- Nov 26, 2024