---
library_name: transformers
license: apache-2.0
base_model: abdulelahagr/harassment_lang_classifier
tags:
- text-classification
- generated_from_trainer
model-index:
- name: harssment_classifier
  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. -->

# harssment_classifier

This model is a fine-tuned version of [abdulelahagr/harassment_lang_classifier](https://huggingface.co./abdulelahagr/harassment_lang_classifier) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0856

## 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: 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0856        | 1.0   | 77   | 0.0439          |
| 0.0024        | 2.0   | 154  | 0.0446          |
| 0.0019        | 3.0   | 231  | 0.0443          |
| 0.0416        | 4.0   | 308  | 0.0452          |
| 0.0436        | 5.0   | 385  | 0.0445          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1