---
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Bert-Sentiment-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. -->

# Bert-Sentiment-Fa

This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the Neshan Sentiment dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4558
- Accuracy: 0.8549
- F1: 0.7877


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-06
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 143  | 0.6143          | 0.8078   | 0.6887 |
| No log        | 2.0   | 286  | 0.4310          | 0.8392   | 0.7556 |
| No log        | 3.0   | 429  | 0.4002          | 0.8627   | 0.8037 |
| 0.5214        | 4.0   | 572  | 0.3933          | 0.8588   | 0.7984 |
| 0.5214        | 5.0   | 715  | 0.4046          | 0.8588   | 0.7945 |
| 0.5214        | 6.0   | 858  | 0.4169          | 0.8588   | 0.7990 |
| 0.2054        | 7.0   | 1001 | 0.4345          | 0.8549   | 0.7848 |
| 0.2054        | 8.0   | 1144 | 0.4277          | 0.8627   | 0.8001 |
| 0.2054        | 9.0   | 1287 | 0.4509          | 0.8588   | 0.7918 |
| 0.2054        | 10.0  | 1430 | 0.4558          | 0.8549   | 0.7877 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3