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---
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_v1
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. -->
# uncased-clf-persiannews_v1
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4385
- Accuracy: 0.6459
- F1: 0.6461
- Precision: 0.6470
## 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 | 1.0855 | 0.6277 | 0.6263 | 0.6472 |
| No log | 2.0 | 442 | 1.0924 | 0.6549 | 0.6545 | 0.6598 |
| 0.4554 | 3.0 | 663 | 1.1278 | 0.6583 | 0.6570 | 0.6609 |
| 0.4554 | 4.0 | 884 | 1.2085 | 0.6481 | 0.6488 | 0.6559 |
| 0.2653 | 5.0 | 1105 | 1.2614 | 0.6481 | 0.6487 | 0.6498 |
| 0.2653 | 6.0 | 1326 | 1.3392 | 0.6402 | 0.6371 | 0.6433 |
| 0.1817 | 7.0 | 1547 | 1.3692 | 0.6549 | 0.6543 | 0.6572 |
| 0.1817 | 8.0 | 1768 | 1.4216 | 0.6425 | 0.6419 | 0.6424 |
| 0.1817 | 9.0 | 1989 | 1.4325 | 0.6549 | 0.6551 | 0.6555 |
| 0.1334 | 10.0 | 2210 | 1.4385 | 0.6459 | 0.6461 | 0.6470 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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