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

# finetuned_parsBERT_NER_fa

This model is a fine-tuned version of [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0293
- Precision: 0.9435
- Recall: 0.9568
- F1: 0.9501
- Accuracy: 0.9941

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1202        | 1.0   | 1821 | 0.0528          | 0.8209    | 0.8587 | 0.8394 | 0.9831   |
| 0.0383        | 2.0   | 3642 | 0.0348          | 0.9060    | 0.9189 | 0.9124 | 0.9899   |
| 0.0168        | 3.0   | 5463 | 0.0278          | 0.9249    | 0.9420 | 0.9334 | 0.9923   |
| 0.0077        | 4.0   | 7284 | 0.0274          | 0.9354    | 0.9517 | 0.9435 | 0.9936   |
| 0.0037        | 5.0   | 9105 | 0.0293          | 0.9435    | 0.9568 | 0.9501 | 0.9941   |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1