metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task1_fold0
results: []
arabert_baseline_relevance_task1_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: 0.2514
- Qwk: 0.0808
- Mse: 0.2559
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
|---|---|---|---|---|---|
| No log | 0.3333 | 2 | 1.1076 | -0.0049 | 1.0949 |
| No log | 0.6667 | 4 | 0.2779 | 0.0 | 0.2800 |
| No log | 1.0 | 6 | 0.2271 | 0.3467 | 0.2294 |
| No log | 1.3333 | 8 | 0.2361 | 0.1667 | 0.2359 |
| No log | 1.6667 | 10 | 0.1985 | 0.1250 | 0.2028 |
| No log | 2.0 | 12 | 0.2232 | 0.0 | 0.2304 |
| No log | 2.3333 | 14 | 0.2167 | 0.0 | 0.2237 |
| No log | 2.6667 | 16 | 0.2206 | 0.0 | 0.2259 |
| No log | 3.0 | 18 | 0.2075 | 0.0 | 0.2127 |
| No log | 3.3333 | 20 | 0.2078 | 0.0 | 0.2132 |
| No log | 3.6667 | 22 | 0.2183 | 0.0 | 0.2235 |
| No log | 4.0 | 24 | 0.2326 | 0.0 | 0.2375 |
| No log | 4.3333 | 26 | 0.2498 | 0.0392 | 0.2543 |
| No log | 4.6667 | 28 | 0.2547 | 0.0392 | 0.2590 |
| No log | 5.0 | 30 | 0.2514 | 0.0808 | 0.2559 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1