---
base_model: HooshvareLab/bert-base-parsbert-uncased
tags:
- generated_from_trainer
model-index:
- name: persian-tweets-embeddings
  results: []
---

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

This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8415

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.362         | 1.0   | 768  | 2.0426          |
| 1.9956        | 2.0   | 1536 | 1.9560          |
| 1.9262        | 3.0   | 2304 | 1.8415          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2