metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task6_fold1
results: []
arabert_baseline_vocabulary_task6_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: 0.4086
- Qwk: 0.7322
- Mse: 0.4086
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 | 1.1281 | 0.0558 | 1.1281 |
| No log | 1.0 | 4 | 0.6605 | 0.4309 | 0.6605 |
| No log | 1.5 | 6 | 0.8109 | 0.4615 | 0.8109 |
| No log | 2.0 | 8 | 0.8404 | 0.3450 | 0.8404 |
| No log | 2.5 | 10 | 0.7598 | 0.3277 | 0.7598 |
| No log | 3.0 | 12 | 0.4728 | 0.4717 | 0.4728 |
| No log | 3.5 | 14 | 0.4115 | 0.5238 | 0.4115 |
| No log | 4.0 | 16 | 0.4736 | 0.7219 | 0.4736 |
| No log | 4.5 | 18 | 0.4966 | 0.7135 | 0.4966 |
| No log | 5.0 | 20 | 0.4737 | 0.6595 | 0.4737 |
| No log | 5.5 | 22 | 0.4965 | 0.6595 | 0.4965 |
| No log | 6.0 | 24 | 0.4565 | 0.7068 | 0.4565 |
| No log | 6.5 | 26 | 0.5170 | 0.6595 | 0.5170 |
| No log | 7.0 | 28 | 0.4977 | 0.6595 | 0.4977 |
| No log | 7.5 | 30 | 0.4286 | 0.7322 | 0.4286 |
| No log | 8.0 | 32 | 0.3945 | 0.7778 | 0.3945 |
| No log | 8.5 | 34 | 0.3857 | 0.7778 | 0.3857 |
| No log | 9.0 | 36 | 0.3903 | 0.7778 | 0.3903 |
| No log | 9.5 | 38 | 0.4015 | 0.7778 | 0.4015 |
| No log | 10.0 | 40 | 0.4086 | 0.7322 | 0.4086 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1