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ArabicNewSplits_FineTuningAraBERT_noAug_task1_organization_fold0
MayBashendy/ArabicNewSplits_FineTuningAraBERT_noAug_task1_organization_fold0
ArabicNewSplits_FineTuningAraBERT_noAug_task1_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 27, 2024
- Updated
- Nov 27, 2024
- SHA
- d13a05b9
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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. -->
ArabicNewSplits_FineTuningAraBERT_noAug_task1_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: 0.9847
- Qwk: 0.3100
- Mse: 0.9847
- Rmse: 0.9923
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 | 1.0 | 2 | 4.8450 | 0.0331 | 4.8450 | 2.2011 |
| No log | 2.0 | 4 | 3.2035 | 0.0737 | 3.2035 | 1.7898 |
| No log | 3.0 | 6 | 2.1175 | 0.0780 | 2.1175 | 1.4551 |
| No log | 4.0 | 8 | 1.4668 | 0.2619 | 1.4668 | 1.2111 |
| No log | 5.0 | 10 | 1.0858 | 0.2141 | 1.0858 | 1.0420 |
| No log | 6.0 | 12 | 0.8782 | 0.4655 | 0.8782 | 0.9371 |
| No log | 7.0 | 14 | 0.8190 | 0.5455 | 0.8190 | 0.9050 |
| No log | 8.0 | 16 | 0.8691 | 0.3705 | 0.8691 | 0.9322 |
| No log | 9.0 | 18 | 0.9591 | 0.3517 | 0.9591 | 0.9793 |
| No log | 10.0 | 20 | 0.9847 | 0.3100 | 0.9847 | 0.9923 |
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 27, 2024
- Updated
- Nov 27, 2024