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---
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_model
This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-clf-persiannews](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-clf-persiannews) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8573
- Accuracy: 0.8695
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 360 | 1.0779 | 0.7772 |
| 1.8476 | 2.0 | 720 | 0.7038 | 0.8436 |
| 0.6038 | 3.0 | 1080 | 0.6356 | 0.8490 |
| 0.6038 | 4.0 | 1440 | 0.6477 | 0.8470 |
| 0.3037 | 5.0 | 1800 | 0.6521 | 0.8515 |
| 0.1723 | 6.0 | 2160 | 0.6938 | 0.8554 |
| 0.1066 | 7.0 | 2520 | 0.6942 | 0.8519 |
| 0.1066 | 8.0 | 2880 | 0.7426 | 0.8559 |
| 0.0636 | 9.0 | 3240 | 0.7769 | 0.8549 |
| 0.0464 | 10.0 | 3600 | 0.8179 | 0.8549 |
| 0.0464 | 11.0 | 3960 | 0.8457 | 0.8544 |
| 0.029 | 12.0 | 4320 | 0.8509 | 0.8554 |
| 0.0241 | 13.0 | 4680 | 0.8534 | 0.8529 |
| 0.0158 | 14.0 | 5040 | 0.8793 | 0.8549 |
| 0.0158 | 15.0 | 5400 | 0.9053 | 0.8544 |
| 0.0131 | 16.0 | 5760 | 0.9009 | 0.8539 |
| 0.012 | 17.0 | 6120 | 0.9124 | 0.8554 |
| 0.012 | 18.0 | 6480 | 0.9092 | 0.8549 |
| 0.0114 | 19.0 | 6840 | 0.9117 | 0.8529 |
| 0.0079 | 20.0 | 7200 | 0.9129 | 0.8519 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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