benginVSmaliuos / README.md
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---
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