---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9434
- Accuracy: 0.6684
- F1: 0.6608
- F1 Micro: 0.6684
- F1 Macro: 0.5384
- Precision: 0.6585
- Recall: 0.6684

## 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: 0.0001
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | F1 Micro | F1 Macro | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:--------:|:---------:|:------:|
| No log        | 1.0   | 96   | 1.1053          | 0.5789   | 0.5598 | 0.5789   | 0.4428   | 0.5993    | 0.5789 |
| No log        | 2.0   | 192  | 1.1474          | 0.5737   | 0.5831 | 0.5737   | 0.4693   | 0.6383    | 0.5737 |
| No log        | 3.0   | 288  | 1.0758          | 0.6316   | 0.6016 | 0.6316   | 0.4850   | 0.6356    | 0.6316 |
| No log        | 4.0   | 384  | 1.2156          | 0.6474   | 0.6454 | 0.6474   | 0.5224   | 0.6489    | 0.6474 |
| No log        | 5.0   | 480  | 1.5757          | 0.6316   | 0.6276 | 0.6316   | 0.5099   | 0.6293    | 0.6316 |
| 0.5922        | 6.0   | 576  | 1.7277          | 0.6579   | 0.6542 | 0.6579   | 0.5338   | 0.6520    | 0.6579 |
| 0.5922        | 7.0   | 672  | 1.9130          | 0.6789   | 0.6736 | 0.6789   | 0.5482   | 0.6749    | 0.6789 |
| 0.5922        | 8.0   | 768  | 1.9434          | 0.6684   | 0.6608 | 0.6684   | 0.5384   | 0.6585    | 0.6684 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3