---
license: apache-2.0
base_model: HooshvareLab/roberta-fa-zwnj-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: roberta-fa-zwnj-base_v2
  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. -->

# roberta-fa-zwnj-base_v2

This model is a fine-tuned version of [HooshvareLab/roberta-fa-zwnj-base](https://huggingface.co/HooshvareLab/roberta-fa-zwnj-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3459
- Accuracy: 0.6322
- F1: 0.6314
- Precision: 0.6344

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
| No log        | 1.0   | 221  | 1.1727          | 0.5051   | 0.4774 | 0.5339    |
| No log        | 2.0   | 442  | 0.9745          | 0.5993   | 0.5974 | 0.6020    |
| 1.0847        | 3.0   | 663  | 0.9534          | 0.6390   | 0.6364 | 0.6376    |
| 1.0847        | 4.0   | 884  | 0.9851          | 0.6504   | 0.6494 | 0.6559    |
| 0.6653        | 5.0   | 1105 | 1.0650          | 0.6300   | 0.6302 | 0.6337    |
| 0.6653        | 6.0   | 1326 | 1.1519          | 0.6413   | 0.6401 | 0.6450    |
| 0.4049        | 7.0   | 1547 | 1.2131          | 0.6356   | 0.6358 | 0.6362    |
| 0.4049        | 8.0   | 1768 | 1.2801          | 0.6356   | 0.6355 | 0.6360    |
| 0.4049        | 9.0   | 1989 | 1.3335          | 0.6322   | 0.6306 | 0.6320    |
| 0.2507        | 10.0  | 2210 | 1.3459          | 0.6322   | 0.6314 | 0.6344    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2