metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task8_fold1
results: []
arabert_baseline_mechanics_task8_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: 0.5999
- Qwk: 0.7490
- Mse: 0.5999
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 | 1.4400 | 0.2581 | 1.4400 |
| No log | 1.0 | 4 | 1.3435 | 0.3959 | 1.3435 |
| No log | 1.5 | 6 | 0.7948 | 0.6199 | 0.7948 |
| No log | 2.0 | 8 | 0.8359 | 0.5911 | 0.8359 |
| No log | 2.5 | 10 | 0.5994 | 0.5641 | 0.5994 |
| No log | 3.0 | 12 | 0.5724 | 0.7742 | 0.5724 |
| No log | 3.5 | 14 | 0.5128 | 0.7153 | 0.5128 |
| No log | 4.0 | 16 | 0.5177 | 0.7153 | 0.5177 |
| No log | 4.5 | 18 | 0.5100 | 0.7153 | 0.5100 |
| No log | 5.0 | 20 | 0.5127 | 0.6784 | 0.5127 |
| No log | 5.5 | 22 | 0.5088 | 0.6854 | 0.5088 |
| No log | 6.0 | 24 | 0.5211 | 0.7490 | 0.5211 |
| No log | 6.5 | 26 | 0.5074 | 0.6784 | 0.5074 |
| No log | 7.0 | 28 | 0.5120 | 0.6784 | 0.5120 |
| No log | 7.5 | 30 | 0.5312 | 0.7871 | 0.5312 |
| No log | 8.0 | 32 | 0.5850 | 0.7871 | 0.5850 |
| No log | 8.5 | 34 | 0.6173 | 0.7586 | 0.6173 |
| No log | 9.0 | 36 | 0.6118 | 0.7586 | 0.6118 |
| No log | 9.5 | 38 | 0.6068 | 0.7449 | 0.6068 |
| No log | 10.0 | 40 | 0.5999 | 0.7490 | 0.5999 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1