---
license: afl-3.0
base_model: Hate-speech-CNERG/hindi-abusive-MuRIL
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hb_1
  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. -->

# hb_1

This model is a fine-tuned version of [Hate-speech-CNERG/hindi-abusive-MuRIL](https://huggingface.co/Hate-speech-CNERG/hindi-abusive-MuRIL) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0145
- Accuracy: 1.0

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 30   | 0.0316          | 1.0      |
| No log        | 2.0   | 60   | 0.0220          | 1.0      |
| No log        | 3.0   | 90   | 0.0174          | 1.0      |
| No log        | 4.0   | 120  | 0.0152          | 1.0      |
| No log        | 5.0   | 150  | 0.0145          | 1.0      |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2