---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: finetuned_distilbert_fa_zwnj_base_ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_distilbert_fa_zwnj_base_ner

This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0296
- Precision: 0.9199
- Recall: 0.9378
- F1: 0.9288
- Accuracy: 0.9923

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1443        | 1.0   | 1820 | 0.0708          | 0.7875    | 0.7912 | 0.7894 | 0.9771   |
| 0.0551        | 2.0   | 3640 | 0.0443          | 0.8602    | 0.8918 | 0.8757 | 0.9863   |
| 0.0289        | 3.0   | 5460 | 0.0343          | 0.8914    | 0.9216 | 0.9062 | 0.9899   |
| 0.0171        | 4.0   | 7280 | 0.0303          | 0.9142    | 0.9333 | 0.9236 | 0.9918   |
| 0.0117        | 5.0   | 9100 | 0.0296          | 0.9199    | 0.9378 | 0.9288 | 0.9923   |


### Framework versions

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