transformers tensorboard safetensors bert text-generation generated_from_trainer base_model:HooshvareLab/bert-fa-zwnj-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: HooshvareLab/bert-fa-zwnj-base
tags:
- generated_from_trainer
model-index:
- name: soha-bert-fa-zwnj-base
  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. -->

# soha-bert-fa-zwnj-base

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: 0.0961

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 59   | 1.5927          |
| No log        | 2.0   | 118  | 0.4177          |
| No log        | 3.0   | 177  | 0.1746          |
| No log        | 4.0   | 236  | 0.1091          |
| No log        | 5.0   | 295  | 0.0961          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
