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End of training
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README.md
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---
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base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_trainer
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model-index:
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- name: arabert_baseline_organization_task8_fold0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# arabert_baseline_organization_task8_fold0
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4941
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- Qwk: 0.6010
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- Mse: 0.4941
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
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| No log | 0.5 | 2 | 1.4026 | 0.0558 | 1.4026 |
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| No log | 1.0 | 4 | 1.1702 | 0.0 | 1.1702 |
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| No log | 1.5 | 6 | 1.0793 | -0.0294 | 1.0793 |
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| No log | 2.0 | 8 | 1.0475 | 0.4031 | 1.0475 |
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| No log | 2.5 | 10 | 0.9473 | 0.5191 | 0.9473 |
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| No log | 3.0 | 12 | 0.8743 | 0.3158 | 0.8743 |
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| No log | 3.5 | 14 | 0.7934 | 0.3158 | 0.7934 |
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| No log | 4.0 | 16 | 0.6914 | 0.4324 | 0.6914 |
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| No log | 4.5 | 18 | 0.6177 | 0.4940 | 0.6177 |
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| No log | 5.0 | 20 | 0.5611 | 0.4940 | 0.5611 |
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| No log | 5.5 | 22 | 0.5294 | 0.5714 | 0.5294 |
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| No log | 6.0 | 24 | 0.5033 | 0.5670 | 0.5033 |
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| No log | 6.5 | 26 | 0.4918 | 0.6010 | 0.4918 |
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| No log | 7.0 | 28 | 0.4919 | 0.6010 | 0.4919 |
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| No log | 7.5 | 30 | 0.4963 | 0.6010 | 0.4963 |
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| No log | 8.0 | 32 | 0.4997 | 0.6010 | 0.4997 |
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| No log | 8.5 | 34 | 0.4990 | 0.6010 | 0.4990 |
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| No log | 9.0 | 36 | 0.4963 | 0.6010 | 0.4963 |
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| No log | 9.5 | 38 | 0.4948 | 0.6010 | 0.4948 |
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| No log | 10.0 | 40 | 0.4941 | 0.6010 | 0.4941 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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