metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task6_fold0
results: []
arabert_baseline_organization_task6_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: 1.0773
- Qwk: 0.5845
- Mse: 1.0773
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 | 1.6373 | 0.1538 | 1.6373 |
| No log | 1.0 | 4 | 1.2460 | 0.2222 | 1.2460 |
| No log | 1.5 | 6 | 1.5431 | 0.3000 | 1.5431 |
| No log | 2.0 | 8 | 1.3210 | 0.2609 | 1.3210 |
| No log | 2.5 | 10 | 1.0985 | 0.2222 | 1.0985 |
| No log | 3.0 | 12 | 1.2241 | 0.3000 | 1.2241 |
| No log | 3.5 | 14 | 1.5282 | 0.4020 | 1.5282 |
| No log | 4.0 | 16 | 1.3965 | 0.5427 | 1.3965 |
| No log | 4.5 | 18 | 1.0605 | 0.3636 | 1.0605 |
| No log | 5.0 | 20 | 1.0157 | 0.3438 | 1.0157 |
| No log | 5.5 | 22 | 1.1775 | 0.6379 | 1.1775 |
| No log | 6.0 | 24 | 1.3717 | 0.6638 | 1.3717 |
| No log | 6.5 | 26 | 1.3937 | 0.6638 | 1.3937 |
| No log | 7.0 | 28 | 1.2725 | 0.6667 | 1.2725 |
| No log | 7.5 | 30 | 1.1808 | 0.6379 | 1.1808 |
| No log | 8.0 | 32 | 1.1076 | 0.4615 | 1.1076 |
| No log | 8.5 | 34 | 1.0719 | 0.4615 | 1.0719 |
| No log | 9.0 | 36 | 1.0706 | 0.5845 | 1.0706 |
| No log | 9.5 | 38 | 1.0719 | 0.5845 | 1.0719 |
| No log | 10.0 | 40 | 1.0773 | 0.5845 | 1.0773 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1