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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_vocabulary_task4_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_vocabulary_task4_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: 1.1529 |
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- Qwk: 0.1724 |
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- Mse: 1.1529 |
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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 | 1.0 | 2 | 3.1705 | 0.0704 | 3.1705 | |
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| No log | 2.0 | 4 | 1.2678 | 0.0123 | 1.2678 | |
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| No log | 3.0 | 6 | 0.6681 | 0.1111 | 0.6681 | |
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| No log | 4.0 | 8 | 0.7489 | 0.4839 | 0.7489 | |
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| No log | 5.0 | 10 | 0.9971 | 0.1724 | 0.9971 | |
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| No log | 6.0 | 12 | 1.2195 | 0.1724 | 1.2195 | |
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| No log | 7.0 | 14 | 1.2558 | 0.1724 | 1.2558 | |
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| No log | 8.0 | 16 | 1.1787 | 0.1724 | 1.1787 | |
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| No log | 9.0 | 18 | 1.1576 | 0.1724 | 1.1576 | |
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| No log | 10.0 | 20 | 1.1529 | 0.1724 | 1.1529 | |
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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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