arabert_baseline_augmented_organization_task3_fold1
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: 0.6870
- Qwk: 0.0
- Mse: 0.6870
- Rmse: 0.8289
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 | 0.25 | 2 | 3.0017 | 0.0 | 3.0017 | 1.7325 |
No log | 0.5 | 4 | 1.7535 | 0.0041 | 1.7535 | 1.3242 |
No log | 0.75 | 6 | 1.1832 | 0.0 | 1.1832 | 1.0877 |
No log | 1.0 | 8 | 0.8572 | 0.0 | 0.8572 | 0.9259 |
No log | 1.25 | 10 | 0.7372 | 0.0 | 0.7372 | 0.8586 |
No log | 1.5 | 12 | 0.7099 | 0.0 | 0.7099 | 0.8426 |
No log | 1.75 | 14 | 0.7538 | 0.0 | 0.7538 | 0.8682 |
No log | 2.0 | 16 | 0.7221 | 0.0 | 0.7221 | 0.8498 |
No log | 2.25 | 18 | 0.6594 | 0.0 | 0.6594 | 0.8121 |
No log | 2.5 | 20 | 0.6429 | 0.0 | 0.6429 | 0.8018 |
No log | 2.75 | 22 | 0.7069 | 0.0 | 0.7069 | 0.8408 |
No log | 3.0 | 24 | 0.7990 | 0.0 | 0.7990 | 0.8939 |
No log | 3.25 | 26 | 0.8706 | 0.0 | 0.8706 | 0.9330 |
No log | 3.5 | 28 | 0.8292 | 0.0 | 0.8292 | 0.9106 |
No log | 3.75 | 30 | 0.7187 | 0.0 | 0.7187 | 0.8478 |
No log | 4.0 | 32 | 0.6536 | 0.0 | 0.6536 | 0.8084 |
No log | 4.25 | 34 | 0.6361 | 0.0120 | 0.6361 | 0.7975 |
No log | 4.5 | 36 | 0.6221 | 0.0 | 0.6221 | 0.7887 |
No log | 4.75 | 38 | 0.6403 | 0.0 | 0.6403 | 0.8002 |
No log | 5.0 | 40 | 0.6953 | 0.0 | 0.6953 | 0.8338 |
No log | 5.25 | 42 | 0.7277 | 0.0 | 0.7277 | 0.8531 |
No log | 5.5 | 44 | 0.7986 | 0.0 | 0.7986 | 0.8936 |
No log | 5.75 | 46 | 0.8216 | 0.0 | 0.8216 | 0.9064 |
No log | 6.0 | 48 | 0.7997 | 0.0 | 0.7997 | 0.8942 |
No log | 6.25 | 50 | 0.7653 | 0.0 | 0.7653 | 0.8748 |
No log | 6.5 | 52 | 0.6746 | 0.0 | 0.6746 | 0.8213 |
No log | 6.75 | 54 | 0.6183 | 0.0 | 0.6183 | 0.7863 |
No log | 7.0 | 56 | 0.6150 | 0.0 | 0.6150 | 0.7842 |
No log | 7.25 | 58 | 0.6335 | 0.0 | 0.6335 | 0.7959 |
No log | 7.5 | 60 | 0.6561 | 0.0 | 0.6561 | 0.8100 |
No log | 7.75 | 62 | 0.6978 | 0.0 | 0.6978 | 0.8354 |
No log | 8.0 | 64 | 0.7100 | 0.0 | 0.7100 | 0.8426 |
No log | 8.25 | 66 | 0.6931 | 0.0 | 0.6931 | 0.8325 |
No log | 8.5 | 68 | 0.6783 | 0.0 | 0.6783 | 0.8236 |
No log | 8.75 | 70 | 0.6841 | 0.0 | 0.6841 | 0.8271 |
No log | 9.0 | 72 | 0.6870 | 0.0 | 0.6870 | 0.8289 |
No log | 9.25 | 74 | 0.6781 | 0.0 | 0.6781 | 0.8235 |
No log | 9.5 | 76 | 0.6776 | 0.0 | 0.6776 | 0.8232 |
No log | 9.75 | 78 | 0.6845 | 0.0 | 0.6845 | 0.8274 |
No log | 10.0 | 80 | 0.6870 | 0.0 | 0.6870 | 0.8289 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/arabert_baseline_augmented_organization_task3_fold1
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aubmindlab/bert-base-arabertv02
Finetuned
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