metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task6_fold0
results: []
arabert_baseline_vocabulary_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: 0.6726
- Qwk: 0.5254
- Mse: 0.6726
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 | 2.0038 | 0.1716 | 2.0038 |
| No log | 1.0 | 4 | 1.1639 | 0.2784 | 1.1639 |
| No log | 1.5 | 6 | 1.1803 | 0.3913 | 1.1803 |
| No log | 2.0 | 8 | 1.1071 | 0.3913 | 1.1071 |
| No log | 2.5 | 10 | 0.9655 | 0.3704 | 0.9655 |
| No log | 3.0 | 12 | 0.8333 | 0.3913 | 0.8333 |
| No log | 3.5 | 14 | 0.7862 | 0.5842 | 0.7862 |
| No log | 4.0 | 16 | 0.8551 | 0.7177 | 0.8551 |
| No log | 4.5 | 18 | 0.8190 | 0.7287 | 0.8190 |
| No log | 5.0 | 20 | 0.7070 | 0.6667 | 0.7070 |
| No log | 5.5 | 22 | 0.7251 | 0.5776 | 0.7251 |
| No log | 6.0 | 24 | 0.6939 | 0.6667 | 0.6939 |
| No log | 6.5 | 26 | 0.6876 | 0.7083 | 0.6876 |
| No log | 7.0 | 28 | 0.7065 | 0.7829 | 0.7065 |
| No log | 7.5 | 30 | 0.7210 | 0.7829 | 0.7210 |
| No log | 8.0 | 32 | 0.6907 | 0.7470 | 0.6907 |
| No log | 8.5 | 34 | 0.6729 | 0.7083 | 0.6729 |
| No log | 9.0 | 36 | 0.6723 | 0.7083 | 0.6723 |
| No log | 9.5 | 38 | 0.6740 | 0.5254 | 0.6740 |
| No log | 10.0 | 40 | 0.6726 | 0.5254 | 0.6726 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1