metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task4_fold1
results: []
arabert_baseline_vocabulary_task4_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: 0.8217
- Qwk: 0.0
- Mse: 0.8217
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 | 1.0 | 2 | 6.2267 | 0.0 | 6.2267 |
| No log | 2.0 | 4 | 4.6025 | 0.0 | 4.6025 |
| No log | 3.0 | 6 | 3.6163 | -0.0400 | 3.6163 |
| No log | 4.0 | 8 | 2.7005 | 0.0 | 2.7005 |
| No log | 5.0 | 10 | 1.7780 | 0.0 | 1.7780 |
| No log | 6.0 | 12 | 1.3775 | -0.0204 | 1.3775 |
| No log | 7.0 | 14 | 1.0431 | 0.0 | 1.0431 |
| No log | 8.0 | 16 | 0.9049 | 0.0 | 0.9049 |
| No log | 9.0 | 18 | 0.8294 | 0.0 | 0.8294 |
| No log | 10.0 | 20 | 0.8217 | 0.0 | 0.8217 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1