metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task6_fold1
results: []
arabert_baseline_organization_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: 0.2898
- Qwk: 0.7030
- Mse: 0.2898
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 | 0.9213 | 0.0731 | 0.9213 |
| No log | 1.0 | 4 | 0.6822 | 0.1579 | 0.6822 |
| No log | 1.5 | 6 | 0.6736 | 0.5214 | 0.6736 |
| No log | 2.0 | 8 | 0.5063 | 0.5950 | 0.5063 |
| No log | 2.5 | 10 | 0.4323 | 0.7287 | 0.4323 |
| No log | 3.0 | 12 | 0.3923 | 0.6028 | 0.3923 |
| No log | 3.5 | 14 | 0.3540 | 0.5655 | 0.3540 |
| No log | 4.0 | 16 | 0.3227 | 0.6045 | 0.3227 |
| No log | 4.5 | 18 | 0.3808 | 0.5971 | 0.3808 |
| No log | 5.0 | 20 | 0.3736 | 0.5987 | 0.3736 |
| No log | 5.5 | 22 | 0.3093 | 0.6940 | 0.3093 |
| No log | 6.0 | 24 | 0.2786 | 0.6335 | 0.2786 |
| No log | 6.5 | 26 | 0.2805 | 0.6631 | 0.2805 |
| No log | 7.0 | 28 | 0.2913 | 0.6940 | 0.2913 |
| No log | 7.5 | 30 | 0.3159 | 0.7030 | 0.3159 |
| No log | 8.0 | 32 | 0.3198 | 0.76 | 0.3198 |
| No log | 8.5 | 34 | 0.3167 | 0.76 | 0.3167 |
| No log | 9.0 | 36 | 0.3027 | 0.7030 | 0.3027 |
| No log | 9.5 | 38 | 0.2926 | 0.7030 | 0.2926 |
| No log | 10.0 | 40 | 0.2898 | 0.7030 | 0.2898 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1