metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task5_fold1
results: []
arabert_baseline_development_task5_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: 0.5703
- Qwk: 0.7312
- Mse: 0.5703
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 | 2.7370 | -0.0412 | 2.7370 |
| No log | 0.6667 | 4 | 1.1106 | 0.0254 | 1.1106 |
| No log | 1.0 | 6 | 0.8018 | 0.3448 | 0.8018 |
| No log | 1.3333 | 8 | 0.7112 | 0.4203 | 0.7112 |
| No log | 1.6667 | 10 | 0.7153 | 0.2778 | 0.7153 |
| No log | 2.0 | 12 | 0.6181 | 0.3333 | 0.6181 |
| No log | 2.3333 | 14 | 0.5263 | 0.4379 | 0.5263 |
| No log | 2.6667 | 16 | 0.5056 | 0.4444 | 0.5056 |
| No log | 3.0 | 18 | 0.4721 | 0.4318 | 0.4721 |
| No log | 3.3333 | 20 | 0.4560 | 0.5251 | 0.4560 |
| No log | 3.6667 | 22 | 0.4550 | 0.5506 | 0.4550 |
| No log | 4.0 | 24 | 0.5190 | 0.7399 | 0.5190 |
| No log | 4.3333 | 26 | 0.5822 | 0.7568 | 0.5822 |
| No log | 4.6667 | 28 | 0.5363 | 0.6328 | 0.5363 |
| No log | 5.0 | 30 | 0.5203 | 0.4382 | 0.5203 |
| No log | 5.3333 | 32 | 0.5859 | 0.4388 | 0.5859 |
| No log | 5.6667 | 34 | 0.5248 | 0.3956 | 0.5248 |
| No log | 6.0 | 36 | 0.5042 | 0.5977 | 0.5042 |
| No log | 6.3333 | 38 | 0.5446 | 0.6667 | 0.5446 |
| No log | 6.6667 | 40 | 0.5984 | 0.7312 | 0.5984 |
| No log | 7.0 | 42 | 0.6002 | 0.7312 | 0.6002 |
| No log | 7.3333 | 44 | 0.5662 | 0.7312 | 0.5662 |
| No log | 7.6667 | 46 | 0.5376 | 0.6667 | 0.5376 |
| No log | 8.0 | 48 | 0.5417 | 0.6667 | 0.5417 |
| No log | 8.3333 | 50 | 0.5612 | 0.7312 | 0.5612 |
| No log | 8.6667 | 52 | 0.5739 | 0.7312 | 0.5739 |
| No log | 9.0 | 54 | 0.5740 | 0.7312 | 0.5740 |
| No log | 9.3333 | 56 | 0.5707 | 0.7312 | 0.5707 |
| No log | 9.6667 | 58 | 0.5714 | 0.7312 | 0.5714 |
| No log | 10.0 | 60 | 0.5703 | 0.7312 | 0.5703 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1