---
library_name: transformers
license: apache-2.0
base_model: HooshvareLab/albert-fa-zwnj-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: albert-fa-zwnj-base-v2-finetuned-bmd-20241021-LOSO-section-out1
  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. -->

# albert-fa-zwnj-base-v2-finetuned-bmd-20241021-LOSO-section-out1

This model is a fine-tuned version of [HooshvareLab/albert-fa-zwnj-base-v2](https://huggingface.co/HooshvareLab/albert-fa-zwnj-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1964
- Accuracy: 0.3103
- F1: 0.2745

## 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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.1384        | 1.0   | 14   | 1.2494          | 0.3448   | 0.1768 |
| 1.1313        | 2.0   | 28   | 1.0923          | 0.3103   | 0.1724 |
| 0.9349        | 3.0   | 42   | 1.2456          | 0.3448   | 0.2468 |
| 0.6109        | 4.0   | 56   | 1.3296          | 0.2069   | 0.1970 |
| 0.3213        | 5.0   | 70   | 1.4808          | 0.3793   | 0.3711 |
| 0.1212        | 6.0   | 84   | 1.9444          | 0.2414   | 0.2352 |
| 0.0406        | 7.0   | 98   | 2.6696          | 0.4138   | 0.3814 |
| 0.0239        | 8.0   | 112  | 2.6279          | 0.2759   | 0.2705 |
| 0.005         | 9.0   | 126  | 3.0941          | 0.3103   | 0.2745 |
| 0.0041        | 10.0  | 140  | 3.1964          | 0.3103   | 0.2745 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1