metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task7_fold0
results: []
arabert_baseline_development_task7_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: 0.3255
- Qwk: 0.6
- Mse: 0.3255
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 | 1.1202 | 0.0777 | 1.1202 |
| No log | 0.6667 | 4 | 0.6041 | 0.4521 | 0.6041 |
| No log | 1.0 | 6 | 0.5933 | 0.4048 | 0.5933 |
| No log | 1.3333 | 8 | 0.6033 | 0.4186 | 0.6033 |
| No log | 1.6667 | 10 | 0.4045 | 0.5380 | 0.4045 |
| No log | 2.0 | 12 | 0.4962 | 0.5370 | 0.4962 |
| No log | 2.3333 | 14 | 0.4729 | 0.5380 | 0.4729 |
| No log | 2.6667 | 16 | 0.4672 | 0.4643 | 0.4672 |
| No log | 3.0 | 18 | 0.5466 | 0.4421 | 0.5466 |
| No log | 3.3333 | 20 | 0.6361 | 0.4508 | 0.6361 |
| No log | 3.6667 | 22 | 0.4635 | 0.4421 | 0.4635 |
| No log | 4.0 | 24 | 0.3643 | 0.6 | 0.3643 |
| No log | 4.3333 | 26 | 0.3664 | 0.6237 | 0.3664 |
| No log | 4.6667 | 28 | 0.3535 | 0.6 | 0.3535 |
| No log | 5.0 | 30 | 0.3681 | 0.5545 | 0.3681 |
| No log | 5.3333 | 32 | 0.3906 | 0.5327 | 0.3906 |
| No log | 5.6667 | 34 | 0.3676 | 0.5327 | 0.3676 |
| No log | 6.0 | 36 | 0.3373 | 0.6 | 0.3373 |
| No log | 6.3333 | 38 | 0.3425 | 0.6324 | 0.3425 |
| No log | 6.6667 | 40 | 0.3594 | 0.5960 | 0.3594 |
| No log | 7.0 | 42 | 0.3550 | 0.6 | 0.3550 |
| No log | 7.3333 | 44 | 0.3547 | 0.5874 | 0.3547 |
| No log | 7.6667 | 46 | 0.3761 | 0.5726 | 0.3761 |
| No log | 8.0 | 48 | 0.3915 | 0.5726 | 0.3915 |
| No log | 8.3333 | 50 | 0.3777 | 0.5726 | 0.3777 |
| No log | 8.6667 | 52 | 0.3558 | 0.5642 | 0.3558 |
| No log | 9.0 | 54 | 0.3383 | 0.5874 | 0.3383 |
| No log | 9.3333 | 56 | 0.3286 | 0.6 | 0.3286 |
| No log | 9.6667 | 58 | 0.3263 | 0.6 | 0.3263 |
| No log | 10.0 | 60 | 0.3255 | 0.6 | 0.3255 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1