metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task2_fold0
results: []
arabert_baseline_development_task2_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: 0.4592
- Qwk: 0.2794
- Mse: 0.4600
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 | 0.3333 | 2 | 5.4721 | -0.0129 | 5.4748 |
| No log | 0.6667 | 4 | 2.5151 | 0.0507 | 2.5239 |
| No log | 1.0 | 6 | 1.3235 | 0.0123 | 1.3253 |
| No log | 1.3333 | 8 | 0.6015 | 0.0645 | 0.6018 |
| No log | 1.6667 | 10 | 0.5523 | 0.1695 | 0.5523 |
| No log | 2.0 | 12 | 0.6138 | -0.0138 | 0.6123 |
| No log | 2.3333 | 14 | 0.6765 | 0.0331 | 0.6760 |
| No log | 2.6667 | 16 | 0.8075 | 0.0645 | 0.8118 |
| No log | 3.0 | 18 | 1.2170 | 0.0000 | 1.2213 |
| No log | 3.3333 | 20 | 0.9705 | 0.1348 | 0.9751 |
| No log | 3.6667 | 22 | 0.5286 | 0.2674 | 0.5292 |
| No log | 4.0 | 24 | 0.5438 | 0.1600 | 0.5431 |
| No log | 4.3333 | 26 | 0.5876 | 0.0 | 0.5872 |
| No log | 4.6667 | 28 | 0.5812 | 0.0 | 0.5809 |
| No log | 5.0 | 30 | 0.5243 | 0.1600 | 0.5239 |
| No log | 5.3333 | 32 | 0.4585 | 0.2794 | 0.4579 |
| No log | 5.6667 | 34 | 0.4400 | 0.2699 | 0.4394 |
| No log | 6.0 | 36 | 0.5014 | 0.2581 | 0.5003 |
| No log | 6.3333 | 38 | 0.5619 | 0.1947 | 0.5601 |
| No log | 6.6667 | 40 | 0.5416 | 0.1947 | 0.5393 |
| No log | 7.0 | 42 | 0.5359 | 0.1947 | 0.5336 |
| No log | 7.3333 | 44 | 0.5271 | 0.1947 | 0.5250 |
| No log | 7.6667 | 46 | 0.4913 | 0.2596 | 0.4901 |
| No log | 8.0 | 48 | 0.4604 | 0.2674 | 0.4603 |
| No log | 8.3333 | 50 | 0.4564 | 0.2794 | 0.4567 |
| No log | 8.6667 | 52 | 0.4600 | 0.2794 | 0.4606 |
| No log | 9.0 | 54 | 0.4613 | 0.2794 | 0.4620 |
| No log | 9.3333 | 56 | 0.4606 | 0.2794 | 0.4614 |
| No log | 9.6667 | 58 | 0.4598 | 0.2794 | 0.4606 |
| No log | 10.0 | 60 | 0.4592 | 0.2794 | 0.4600 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1