metadata
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: uncased-clf-persiannews_v2
results: []
uncased-clf-persiannews_v2
This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased-clf-persiannews on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9489
- Accuracy: 0.6504
- F1: 0.6504
- Precision: 0.6521
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-06
- 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 | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| No log | 1.0 | 221 | 1.1578 | 0.5051 | 0.4978 | 0.5159 |
| No log | 2.0 | 442 | 1.0197 | 0.5846 | 0.5823 | 0.5889 |
| 1.1541 | 3.0 | 663 | 0.9553 | 0.6118 | 0.6087 | 0.6163 |
| 1.1541 | 4.0 | 884 | 0.9413 | 0.6209 | 0.6199 | 0.6281 |
| 0.8174 | 5.0 | 1105 | 0.9203 | 0.6493 | 0.6493 | 0.6506 |
| 0.8174 | 6.0 | 1326 | 0.9302 | 0.6493 | 0.6479 | 0.6551 |
| 0.6483 | 7.0 | 1547 | 0.9411 | 0.6368 | 0.6346 | 0.6379 |
| 0.6483 | 8.0 | 1768 | 0.9430 | 0.6504 | 0.6496 | 0.6514 |
| 0.6483 | 9.0 | 1989 | 0.9469 | 0.6481 | 0.6478 | 0.6500 |
| 0.5439 | 10.0 | 2210 | 0.9489 | 0.6504 | 0.6504 | 0.6521 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2