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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_mechanics_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_mechanics_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: 0.4456 |
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- Qwk: 0.7094 |
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- Mse: 0.4456 |
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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 | 1.7489 | 0.0491 | 1.7489 | |
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| No log | 1.0 | 4 | 1.3896 | 0.1642 | 1.3896 | |
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| No log | 1.5 | 6 | 1.1796 | 0.3277 | 1.1796 | |
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| No log | 2.0 | 8 | 0.9747 | 0.4703 | 0.9747 | |
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| No log | 2.5 | 10 | 0.8441 | 0.4560 | 0.8441 | |
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| No log | 3.0 | 12 | 0.7876 | 0.4560 | 0.7876 | |
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| No log | 3.5 | 14 | 0.7251 | 0.5758 | 0.7251 | |
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| No log | 4.0 | 16 | 0.6598 | 0.5919 | 0.6598 | |
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| No log | 4.5 | 18 | 0.6220 | 0.5919 | 0.6220 | |
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| No log | 5.0 | 20 | 0.5659 | 0.6571 | 0.5659 | |
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| No log | 5.5 | 22 | 0.5619 | 0.5709 | 0.5619 | |
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| No log | 6.0 | 24 | 0.5885 | 0.5056 | 0.5885 | |
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| No log | 6.5 | 26 | 0.5705 | 0.5056 | 0.5705 | |
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| No log | 7.0 | 28 | 0.5149 | 0.7094 | 0.5149 | |
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| No log | 7.5 | 30 | 0.4887 | 0.7094 | 0.4887 | |
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| No log | 8.0 | 32 | 0.4700 | 0.7094 | 0.4700 | |
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| No log | 8.5 | 34 | 0.4603 | 0.7094 | 0.4603 | |
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| No log | 9.0 | 36 | 0.4527 | 0.7094 | 0.4527 | |
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| No log | 9.5 | 38 | 0.4477 | 0.7821 | 0.4477 | |
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| No log | 10.0 | 40 | 0.4456 | 0.7094 | 0.4456 | |
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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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