metadata
base_model: aubmindlab/bert-large-arabertv02-twitter
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Model5_T2_Araberv2_large_WS_A100
results: []
Model5_T2_Araberv2_large_WS_A100
This model is a fine-tuned version of aubmindlab/bert-large-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0614
- F1: 0.8576
- Roc Auc: 0.9065
- Accuracy: 0.7784
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: 5e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 193 | 0.0799 | 0.8025 | 0.8645 | 0.7151 |
| No log | 2.0 | 386 | 0.0655 | 0.8429 | 0.8987 | 0.7616 |
| 0.0884 | 3.0 | 579 | 0.0614 | 0.8576 | 0.9065 | 0.7784 |
| 0.0884 | 4.0 | 772 | 0.0659 | 0.8599 | 0.9275 | 0.7858 |
| 0.0884 | 5.0 | 965 | 0.0674 | 0.8495 | 0.9244 | 0.7561 |
| 0.0238 | 6.0 | 1158 | 0.0709 | 0.8480 | 0.9176 | 0.7616 |
| 0.0238 | 7.0 | 1351 | 0.0691 | 0.8557 | 0.9227 | 0.7654 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3