---
library_name: transformers
license: apache-2.0
base_model: HooshvareLab/bert-fa-zwnj-base
tags:
- generated_from_trainer
model-index:
- name: bert-fa-zwnj-base-finetuned-estefta
  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. -->

# bert-fa-zwnj-base-finetuned-estefta

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: 2.6881

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1014        | 1.0   | 32   | 2.8122          |
| 2.9022        | 2.0   | 64   | 2.8189          |
| 2.8466        | 3.0   | 96   | 2.9307          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cpu
- Datasets 3.0.0
- Tokenizers 0.19.1