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Arabic_FineTuningAraBERT_noAug_task3_organization_fold0
MayBashendy/Arabic_FineTuningAraBERT_noAug_task3_organization_fold0
Arabic_FineTuningAraBERT_noAug_task3_organization_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
- Nov 18, 2024
- Updated
- Nov 18, 2024
- SHA
- 1bd5ade6
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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. -->
Arabic_FineTuningAraBERT_noAug_task3_organization_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: 0.9261
- Qwk: -0.1786
- Mse: 0.9261
- Rmse: 0.9623
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 | 5.0795 | -0.0373 | 5.0795 | 2.2538 |
| No log | 0.6667 | 4 | 3.7935 | -0.0292 | 3.7935 | 1.9477 |
| No log | 1.0 | 6 | 1.3848 | -0.0722 | 1.3848 | 1.1768 |
| No log | 1.3333 | 8 | 0.8755 | -0.0087 | 0.8755 | 0.9357 |
| No log | 1.6667 | 10 | 0.8313 | -0.1786 | 0.8313 | 0.9118 |
| No log | 2.0 | 12 | 0.9317 | -0.1786 | 0.9317 | 0.9653 |
| No log | 2.3333 | 14 | 0.8420 | 0.0 | 0.8420 | 0.9176 |
| No log | 2.6667 | 16 | 0.7754 | 0.0 | 0.7754 | 0.8805 |
| No log | 3.0 | 18 | 0.7847 | 0.2029 | 0.7847 | 0.8858 |
| No log | 3.3333 | 20 | 0.8265 | -0.0087 | 0.8265 | 0.9091 |
| No log | 3.6667 | 22 | 0.8339 | 0.0737 | 0.8339 | 0.9132 |
| No log | 4.0 | 24 | 0.8201 | -0.2384 | 0.8201 | 0.9056 |
| No log | 4.3333 | 26 | 0.8259 | 0.0 | 0.8259 | 0.9088 |
| No log | 4.6667 | 28 | 0.9062 | 0.0 | 0.9062 | 0.9519 |
| No log | 5.0 | 30 | 0.8545 | 0.0 | 0.8545 | 0.9244 |
| No log | 5.3333 | 32 | 0.8293 | -0.0565 | 0.8293 | 0.9106 |
| No log | 5.6667 | 34 | 0.8200 | -0.0732 | 0.8200 | 0.9056 |
| No log | 6.0 | 36 | 0.9028 | 0.0 | 0.9028 | 0.9502 |
| No log | 6.3333 | 38 | 1.0402 | 0.0 | 1.0402 | 1.0199 |
| No log | 6.6667 | 40 | 1.0327 | 0.0 | 1.0327 | 1.0162 |
| No log | 7.0 | 42 | 0.9744 | 0.0 | 0.9744 | 0.9871 |
| No log | 7.3333 | 44 | 0.8963 | 0.0 | 0.8963 | 0.9467 |
| No log | 7.6667 | 46 | 0.8552 | 0.0530 | 0.8552 | 0.9248 |
| No log | 8.0 | 48 | 0.8597 | 0.0530 | 0.8597 | 0.9272 |
| No log | 8.3333 | 50 | 0.8662 | 0.0530 | 0.8662 | 0.9307 |
| No log | 8.6667 | 52 | 0.8815 | -0.0732 | 0.8815 | 0.9389 |
| No log | 9.0 | 54 | 0.9075 | -0.1786 | 0.9075 | 0.9526 |
| No log | 9.3333 | 56 | 0.9180 | -0.1786 | 0.9180 | 0.9581 |
| No log | 9.6667 | 58 | 0.9234 | -0.1786 | 0.9234 | 0.9609 |
| No log | 10.0 | 60 | 0.9261 | -0.1786 | 0.9261 | 0.9623 |
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 18, 2024
- Updated
- Nov 18, 2024