---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: bm
  results: []
language:
- en
---
This model classifies bengin/maliuos from English text.

# bm

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0602        | 1.0   | 767  | 0.0000          |
| 0.0           | 2.0   | 1534 | 0.0000          |
| 0.0           | 3.0   | 2301 | 0.0000          |
| 0.0           | 4.0   | 3068 | 0.0000          |
| 0.0           | 5.0   | 3835 | 0.0000          |
| 0.0           | 6.0   | 4602 | 0.0000          |
| 0.0           | 7.0   | 5369 | 0.0000          |
| 0.0           | 8.0   | 6136 | 0.0000          |
| 0.0           | 9.0   | 6903 | 0.0000          |
| 0.0           | 10.0  | 7670 | 0.0000          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.15.0
- Tokenizers 0.15.0