metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task8_fold0
results: []
arabert_baseline_grammar_task8_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: 0.5087
- Qwk: 0.6725
- Mse: 0.5087
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 | 2.2317 | 0.0 | 2.2317 |
| No log | 1.0 | 4 | 1.4866 | 0.2297 | 1.4866 |
| No log | 1.5 | 6 | 1.0270 | 0.5643 | 1.0270 |
| No log | 2.0 | 8 | 1.1388 | 0.4074 | 1.1388 |
| No log | 2.5 | 10 | 1.0946 | 0.4074 | 1.0946 |
| No log | 3.0 | 12 | 0.5591 | 0.6159 | 0.5591 |
| No log | 3.5 | 14 | 0.5042 | 0.6216 | 0.5042 |
| No log | 4.0 | 16 | 0.4874 | 0.6585 | 0.4874 |
| No log | 4.5 | 18 | 0.5862 | 0.6053 | 0.5862 |
| No log | 5.0 | 20 | 0.7098 | 0.5549 | 0.7098 |
| No log | 5.5 | 22 | 0.6879 | 0.5549 | 0.6879 |
| No log | 6.0 | 24 | 0.5641 | 0.6053 | 0.5641 |
| No log | 6.5 | 26 | 0.5895 | 0.6725 | 0.5895 |
| No log | 7.0 | 28 | 0.6417 | 0.6211 | 0.6417 |
| No log | 7.5 | 30 | 0.7537 | 0.6211 | 0.7537 |
| No log | 8.0 | 32 | 0.6776 | 0.6211 | 0.6776 |
| No log | 8.5 | 34 | 0.6081 | 0.6211 | 0.6081 |
| No log | 9.0 | 36 | 0.5508 | 0.6725 | 0.5508 |
| No log | 9.5 | 38 | 0.5104 | 0.6725 | 0.5104 |
| No log | 10.0 | 40 | 0.5087 | 0.6725 | 0.5087 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1