metadata
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: >-
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task3_organization
results: []
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task3_organization
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: 0.5966
- Qwk: 0.2653
- Mse: 0.5966
- Rmse: 0.7724
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: 8
- eval_batch_size: 8
- 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 | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.6667 | 2 | 3.4268 | 0.0013 | 3.4268 | 1.8512 |
| No log | 1.3333 | 4 | 2.5942 | -0.0732 | 2.5942 | 1.6106 |
| No log | 2.0 | 6 | 1.2332 | 0.0 | 1.2332 | 1.1105 |
| No log | 2.6667 | 8 | 0.9727 | 0.0388 | 0.9727 | 0.9862 |
| No log | 3.3333 | 10 | 1.1042 | 0.0598 | 1.1042 | 1.0508 |
| No log | 4.0 | 12 | 0.7208 | 0.1590 | 0.7208 | 0.8490 |
| No log | 4.6667 | 14 | 0.6918 | 0.1590 | 0.6918 | 0.8318 |
| No log | 5.3333 | 16 | 0.6109 | 0.1913 | 0.6109 | 0.7816 |
| No log | 6.0 | 18 | 0.5634 | 0.2632 | 0.5634 | 0.7506 |
| No log | 6.6667 | 20 | 0.6051 | 0.1209 | 0.6051 | 0.7779 |
| No log | 7.3333 | 22 | 0.6485 | 0.1429 | 0.6485 | 0.8053 |
| No log | 8.0 | 24 | 0.6011 | 0.2410 | 0.6011 | 0.7753 |
| No log | 8.6667 | 26 | 0.5982 | 0.2239 | 0.5982 | 0.7734 |
| No log | 9.3333 | 28 | 0.5958 | 0.2653 | 0.5958 | 0.7719 |
| No log | 10.0 | 30 | 0.5966 | 0.2653 | 0.5966 | 0.7724 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1