metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task5_fold1
results: []
arabert_baseline_vocabulary_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: 0.5505
- Qwk: 0.6767
- Mse: 0.5505
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 | 3.3545 | 0.0255 | 3.3545 |
| No log | 0.6667 | 4 | 1.6087 | 0.0 | 1.6087 |
| No log | 1.0 | 6 | 0.8536 | 0.2689 | 0.8536 |
| No log | 1.3333 | 8 | 0.7544 | 0.2289 | 0.7544 |
| No log | 1.6667 | 10 | 0.6504 | 0.2689 | 0.6504 |
| No log | 2.0 | 12 | 0.5598 | 0.3623 | 0.5598 |
| No log | 2.3333 | 14 | 0.5291 | 0.3623 | 0.5291 |
| No log | 2.6667 | 16 | 0.6356 | 0.4179 | 0.6356 |
| No log | 3.0 | 18 | 0.8795 | 0.2857 | 0.8795 |
| No log | 3.3333 | 20 | 0.7838 | 0.4434 | 0.7838 |
| No log | 3.6667 | 22 | 0.5344 | 0.6809 | 0.5344 |
| No log | 4.0 | 24 | 0.5107 | 0.6822 | 0.5107 |
| No log | 4.3333 | 26 | 0.5455 | 0.6822 | 0.5455 |
| No log | 4.6667 | 28 | 0.5959 | 0.6822 | 0.5959 |
| No log | 5.0 | 30 | 0.6155 | 0.6091 | 0.6155 |
| No log | 5.3333 | 32 | 0.5993 | 0.6146 | 0.5993 |
| No log | 5.6667 | 34 | 0.6037 | 0.7028 | 0.6037 |
| No log | 6.0 | 36 | 0.6613 | 0.6767 | 0.6613 |
| No log | 6.3333 | 38 | 0.6632 | 0.7005 | 0.6632 |
| No log | 6.6667 | 40 | 0.6185 | 0.6822 | 0.6185 |
| No log | 7.0 | 42 | 0.5683 | 0.7028 | 0.5683 |
| No log | 7.3333 | 44 | 0.5821 | 0.6040 | 0.5821 |
| No log | 7.6667 | 46 | 0.5844 | 0.6040 | 0.5844 |
| No log | 8.0 | 48 | 0.5500 | 0.6844 | 0.5500 |
| No log | 8.3333 | 50 | 0.5326 | 0.7028 | 0.5326 |
| No log | 8.6667 | 52 | 0.5428 | 0.6767 | 0.5428 |
| No log | 9.0 | 54 | 0.5510 | 0.6767 | 0.5510 |
| No log | 9.3333 | 56 | 0.5525 | 0.6767 | 0.5525 |
| No log | 9.6667 | 58 | 0.5510 | 0.6767 | 0.5510 |
| No log | 10.0 | 60 | 0.5505 | 0.6767 | 0.5505 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1