metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task8_fold0
results: []
arabert_baseline_development_task8_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: 0.1605
- Qwk: 0.5882
- Mse: 0.1605
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|
| No log | 0.5 | 2 | 1.1160 | -0.0107 | 1.1160 |
| No log | 1.0 | 4 | 0.4550 | 0.3396 | 0.4550 |
| No log | 1.5 | 6 | 0.3212 | 0.4916 | 0.3212 |
| No log | 2.0 | 8 | 0.5003 | 0.5103 | 0.5003 |
| No log | 2.5 | 10 | 0.1299 | 0.5882 | 0.1299 |
| No log | 3.0 | 12 | 0.1918 | 0.5739 | 0.1918 |
| No log | 3.5 | 14 | 0.2125 | 0.5942 | 0.2125 |
| No log | 4.0 | 16 | 0.2092 | 0.5698 | 0.2092 |
| No log | 4.5 | 18 | 0.2845 | 0.5698 | 0.2845 |
| No log | 5.0 | 20 | 0.3180 | 0.5698 | 0.3180 |
| No log | 5.5 | 22 | 0.1927 | 0.5698 | 0.1927 |
| No log | 6.0 | 24 | 0.1205 | 0.5882 | 0.1205 |
| No log | 6.5 | 26 | 0.1184 | 0.5882 | 0.1184 |
| No log | 7.0 | 28 | 0.1447 | 0.5882 | 0.1447 |
| No log | 7.5 | 30 | 0.1943 | 0.5956 | 0.1943 |
| No log | 8.0 | 32 | 0.2046 | 0.5956 | 0.2046 |
| No log | 8.5 | 34 | 0.2027 | 0.5956 | 0.2027 |
| No log | 9.0 | 36 | 0.1838 | 0.5698 | 0.1838 |
| No log | 9.5 | 38 | 0.1659 | 0.5698 | 0.1659 |
| No log | 10.0 | 40 | 0.1605 | 0.5882 | 0.1605 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1